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Posted to solr-user@lucene.apache.org by Scotten Stuart <St...@us.mcd.com> on 2015/12/01 17:36:27 UTC
Why do documents without the search query term rank highest
Hi All,
I hope this is the way to ask a question - please guide me if there is a different protocol
I have a question about results ranking for Solr V4.2 in combination with the CMS tool Adobe CQ (V5.6).
Despite trying different ways to configure the ranking of documents I am confused why content that does not have even one mention of the search query ranks higher than documents that are actually titled with the search query.
For example, searching for 'big' bring back 'Home' as the top result and 'Big Mac as the second result - see here http://www-a4.staging.mcdonalds.com/us/en/search/search_results.html?search=simple&queryText=burger&collection=usmcd
Any thoughts would be very welcome
Thanks
Stuart
PMP, Business Technical Analyst | CRS Consultant | Corporate IT Digital | McDonald's Corporation
2111 McDonald's Drive | Oak Brook, IL 60523 USA
Office: +1 630.623.5950 | Cell: 301.633.3298 | Stuart.Scotten@US.McD.com
________________________________
The information contained in this e-mail and any accompanying documents is confidential, may be privileged, and is intended solely for the person and/or entity to whom it is addressed (i.e. those identified in the "To" and "cc" box). They are the property of McDonald's Corporation. Unauthorized review, use, disclosure, or copying of this communication, or any part thereof, is strictly prohibited and may be unlawful. If you have received this e-mail in error, please return the e-mail and attachments to the sender and delete the e-mail and attachments and any copy from your system. McDonald's thanks you for your cooperation.
RE: Why do documents without the search query term rank highest
Posted by Scotten Stuart <St...@us.mcd.com>.
Thank you for the feedback - I will need some time to put together the response to your suggestions - and you're right, I did get the search URL wrong - just a beginner at this!
Thanks
Stuart
PMP, Business Technical Analyst | CRS Consultant | Corporate IT Digital | McDonald's Corporation
2111 McDonald's Drive | Oak Brook, IL 60523 USA
Office: +1 630.623.5950 | Cell: 301.633.3298 | Stuart.Scotten@US.McD.com
-----Original Message-----
From: Chris Hostetter [mailto:hossman_lucene@fucit.org]
Sent: Tuesday, December 01, 2015 10:54 AM
To: solr-user@lucene.apache.org
Subject: Re: Why do documents without the search query term rank highest
: I would suggest you ask on a forum related to Adobe CQ. There are many
: ways in which CQ could be issuing queries against Solr, and without
: insight into that, people here aren't that likely to be able to help you
: - unless they happen to also use CQ, which probably amounts to a very
: small portion of this community.
If you have access to the Solr logs, and can provide us with the configs, schema, and requests being made by your frontend, then folks might be able to help explain the results.
In particular, if you can figure out what query the front end is making, then make that same query with "debug=true" added to the request, and provide that entire output here, then that will help explain everything about the queries being executed and wy the results are getting the scores hey have...
https://wiki.apache.org/solr/UsingMailingLists
: > For example, searching for 'big' bring back 'Home' as the top result
: > and 'Big Mac as the second result - see here
: > http://www-a4.staging.mcdonalds.com/us/en/search/search_results.html?search=simple&queryText=burger&collection=usmcd
FWIW: That URL doesn't do a search for "big" ... pretty sure you ment...
http://www-a4.staging.mcdonalds.com/us/en/search/search_results.html?search=simple&queryText=big&collection=usmcd
-Hoss
http://www.lucidworks.com/
________________________________
The information contained in this e-mail and any accompanying documents is confidential, may be privileged, and is intended solely for the person and/or entity to whom it is addressed (i.e. those identified in the "To" and "cc" box). They are the property of McDonald's Corporation. Unauthorized review, use, disclosure, or copying of this communication, or any part thereof, is strictly prohibited and may be unlawful. If you have received this e-mail in error, please return the e-mail and attachments to the sender and delete the e-mail and attachments and any copy from your system. McDonald's thanks you for your cooperation.
RE: Why do documents without the search query term rank highest
Posted by Scotten Stuart <St...@us.mcd.com>.
WOW!
Thanks Chris - I have read your feedback but I will need to go through it a couple more times to get my head around it :) - thanks for taking the time to help - much appreciated!
Thanks
Stuart
PMP, Business Technical Analyst | CRS Consultant | Corporate IT Digital | McDonald's Corporation
2111 McDonald's Drive | Oak Brook, IL 60523 USA
Office: +1 630.623.5950 | Cell: 301.633.3298 | Stuart.Scotten@US.McD.com
-----Original Message-----
From: Chris Hostetter [mailto:hossman_lucene@fucit.org]
Sent: Tuesday, December 01, 2015 3:52 PM
To: solr-user@lucene.apache.org
Subject: RE: Why do documents without the search query term rank highest
: Again, my confusion is why the document 'Home' appears ahead of the
: document 'Big Mac' in the ranking when the query term 'big' only appears
: once in 'Home' but several times in 'Big Mac'?
The key to understanding how documents are scored is in the query structure and the "explain" output.
By default the explain output is a simple string using newlines & whitespace indenting for formatting -- something that got lost when you pasted it into email -- but i've tried to reformat it below based on educated guesses and lots of experience. (FWIW: adding debug.explain.structured=true will use the xml/json/whatever response format for structure instead of newlines + indenting)
<str name="http://www-a4.staging.mcdonalds.com/us/en/home.html">
0.027089478 = (MATCH) product of:
.0.18962634 = (MATCH) sum of:
..0.18962634 = (MATCH) weight(keywords:big in 78) [DefaultSimilarity]
...0.18962634 = score(doc=78,freq=1.0 = termFreq=1.0 ), product of:
....0.3345638 = queryWeight, product of:
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.06456205 = queryNorm
....0.56678677 = fieldWeight in 78, product of:
.....1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.109375 = fieldNorm(doc=78)
.0.14285715 = coord(1/7)
So what the above tells us, is that the top scoring document (home.html) matched a single clause of the query which was "keywords:big". The *term* "keywords:big" appeared 1 time (freq=1.0) in this document, and is in a total of 3 documents (docFreq).
(note that *term* is key here -- the number of times the *word* big appears in all fields doesn't matter for score calculations, just that it appears in the "keywords" field for a total of 3 documents, and this is one of them)
There were "penalties" to the score for this document based on the "fieldNorm" of the keywords field (which comes from index time document & field boosts, as well as field length at index time) and because it only matched 1/7 of the clauses of the query.
Now lets compare with the second match....
<str name="http://www-a4.staging.mcdonalds.com/us/en/our_story/replacement-to-new-search/BigMac.html">
0.0075755017 = (MATCH) product of:
.0.026514255 = (MATCH) sum of:
..0.0146626085 = (MATCH) weight(description:big in 104) [DefaultSimilarity]
...0.0146626085 = score(doc=104,freq=3.0 = termFreq=3.0 ), product of:
....0.3345638 = queryWeight, product of:
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.06456205 = queryNorm
....0.043826047 = fieldWeight in 104, product of:
.....1.7320508 = tf(freq=3.0), with freq of: 3.0 = termFreq=3.0
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.0048828125 = fieldNorm(doc=104)
..0.011851646 = (MATCH) weight(title:big in 104) [DefaultSimilarity]
...0.011851646 = score(doc=104,freq=1.0 = termFreq=1.0 ), product of:
....0.3345638 = queryWeight, product of:
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.06456205 = queryNorm
....0.035424173 = fieldWeight in 104, product of:
.....1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.0068359375 = fieldNorm(doc=104)
.0.2857143 = coord(2/7)
In this case, the document matches two clauses of the query -- "description:big" and "title:big". The term description:big is matched 3 times (termFreq) in this document, and evidently exists in only 3 documents in the index (docFreq) but the fieldNorm is penalizing the overall scores. Likewise the term title:big is matched 1 time, and exists in only 3 documents in your index -- the fieldNorm is slightly higher (probably due to the shorter length of the title). The overall score of the second doc is penalized for only matching 2 of the 7 clauses.
Based on what i'm seeing here, the biggest suprise i have is the fieldNorm values you are getting -- they don't make sense given the lengths of the fields you showed us in the output unless some index time document (or
field) boosts are getting applied -- perhaps intended to "promote" the "home.html" page in your search results? My guess is a some setting in your CMS is doing this? maybe based on "page depth" or something like that?
Based on your configs, I'm guessing you're running Solr 4.2 -- So I tried loading up copies of those 2 documents using the config+schema you provided, and here are the score explanations i got...
**NOTE** Things like the docFreqs (and therfore queryWeight &
fieldWeight) are NOT going to be comparable because my index *only* had those two documents ... the key here is to compare the fieldNorms below with the fieldNorms from the same documents in your query...
http://www-a4.staging.mcdonalds.com/us/en/home.html
0.004108005 = (MATCH) product of:
.0.028756034 = (MATCH) sum of:
..0.028756034 = (MATCH) weight(keywords:big in 0) [DefaultSimilarity],
...0.028756034 = score(doc=0,freq=1.0 = termFreq=1.0), product of:
....0.2629123 = queryWeight, product of:
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.2629123 = queryNorm
....0.109375 = fieldWeight in 0, product of:
.....1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.109375 = fieldNorm(doc=0)
.0.14285715 = coord(1/7)
http://www-a4.staging.mcdonalds.com/us/en/our_story/replacement-to-new-search/BigMac.html
0.07352274 = (MATCH) product of:
.0.25732958 = (MATCH) sum of:
..0.14230545 = (MATCH) weight(description:big in 1) [DefaultSimilarity],
...0.14230545 = score(doc=1,freq=3.0 = termFreq=3.0), product of:
....0.2629123 = queryWeight, product of:
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.2629123 = queryNorm
....0.54126585 = fieldWeight in 1, product of:
.....1.7320508 = tf(freq=3.0), with freq of: 3.0 = termFreq=3.0
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.3125 = fieldNorm(doc=1)
..0.115024135 = (MATCH) weight(title:big in 1) [DefaultSimilarity],
...0.115024135 = score(doc=1,freq=1.0 = termFreq=1.0), product of:
....0.2629123 = queryWeight, product of:
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.2629123 = queryNorm
....0.4375 = fieldWeight in 1, product of:
.....1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.4375 = fieldNorm(doc=1)
.0.2857143 = coord(2/7)
...the fieldNorm for "home.html" is the same, but the fieldNorm(s) for BigMac.html are much higher. The only explanation I have is that your CMS is sending fractional "boost" values at index time for some documents (again -- i speculate it might based on how "deep" the page is in your site, in an attempt to "promote" higher level pages)
-Hoss
http://www.lucidworks.com/
________________________________
The information contained in this e-mail and any accompanying documents is confidential, may be privileged, and is intended solely for the person and/or entity to whom it is addressed (i.e. those identified in the "To" and "cc" box). They are the property of McDonald's Corporation. Unauthorized review, use, disclosure, or copying of this communication, or any part thereof, is strictly prohibited and may be unlawful. If you have received this e-mail in error, please return the e-mail and attachments to the sender and delete the e-mail and attachments and any copy from your system. McDonald's thanks you for your cooperation.
RE: Why do documents without the search query term rank highest
Posted by Chris Hostetter <ho...@fucit.org>.
: Again, my confusion is why the document 'Home' appears ahead of the
: document 'Big Mac' in the ranking when the query term 'big' only appears
: once in 'Home' but several times in 'Big Mac'?
The key to understanding how documents are scored is in the query
structure and the "explain" output.
By default the explain output is a simple string using newlines &
whitespace indenting for formatting -- something that got lost when you
pasted it into email -- but i've tried to reformat it below based on
educated guesses and lots of experience. (FWIW: adding
debug.explain.structured=true will use the xml/json/whatever response
format for structure instead of newlines + indenting)
<str name="http://www-a4.staging.mcdonalds.com/us/en/home.html">
0.027089478 = (MATCH) product of:
.0.18962634 = (MATCH) sum of:
..0.18962634 = (MATCH) weight(keywords:big in 78) [DefaultSimilarity]
...0.18962634 = score(doc=78,freq=1.0 = termFreq=1.0 ), product of:
....0.3345638 = queryWeight, product of:
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.06456205 = queryNorm
....0.56678677 = fieldWeight in 78, product of:
.....1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.109375 = fieldNorm(doc=78)
.0.14285715 = coord(1/7)
So what the above tells us, is that the top scoring document (home.html)
matched a single clause of the query which was "keywords:big". The *term*
"keywords:big" appeared 1 time (freq=1.0) in this document, and is in a
total of 3 documents (docFreq).
(note that *term* is key here -- the number of times the *word* big
appears in all fields doesn't matter for score calculations, just that it
appears in the "keywords" field for a total of 3 documents, and this is
one of them)
There were "penalties" to the score for this document based on the
"fieldNorm" of the keywords field (which comes from index time document &
field boosts, as well as field length at index time) and because it only
matched 1/7 of the clauses of the query.
Now lets compare with the second match....
<str name="http://www-a4.staging.mcdonalds.com/us/en/our_story/replacement-to-new-search/BigMac.html">
0.0075755017 = (MATCH) product of:
.0.026514255 = (MATCH) sum of:
..0.0146626085 = (MATCH) weight(description:big in 104) [DefaultSimilarity]
...0.0146626085 = score(doc=104,freq=3.0 = termFreq=3.0 ), product of:
....0.3345638 = queryWeight, product of:
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.06456205 = queryNorm
....0.043826047 = fieldWeight in 104, product of:
.....1.7320508 = tf(freq=3.0), with freq of: 3.0 = termFreq=3.0
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.0048828125 = fieldNorm(doc=104)
..0.011851646 = (MATCH) weight(title:big in 104) [DefaultSimilarity]
...0.011851646 = score(doc=104,freq=1.0 = termFreq=1.0 ), product of:
....0.3345638 = queryWeight, product of:
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.06456205 = queryNorm
....0.035424173 = fieldWeight in 104, product of:
.....1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0
.....5.18205 = idf(docFreq=3, maxDocs=262)
.....0.0068359375 = fieldNorm(doc=104)
.0.2857143 = coord(2/7)
In this case, the document matches two clauses of the query --
"description:big" and "title:big". The term description:big is matched 3
times (termFreq) in this document, and evidently exists in only 3
documents in the index (docFreq) but the fieldNorm is penalizing the
overall scores. Likewise the term title:big is matched 1 time, and exists
in only 3 documents in your index -- the fieldNorm is slightly higher
(probably due to the shorter length of the title). The overall score of
the second doc is penalized for only matching 2 of the 7 clauses.
Based on what i'm seeing here, the biggest suprise i have is the fieldNorm
values you are getting -- they don't make sense given the lengths of the
fields you showed us in the output unless some index time document (or
field) boosts are getting applied -- perhaps intended to "promote" the
"home.html" page in your search results? My guess is a some setting in
your CMS is doing this? maybe based on "page depth" or something like
that?
Based on your configs, I'm guessing you're running Solr 4.2 -- So I tried
loading up copies of those 2 documents using the config+schema you
provided, and here are the score explanations i got...
**NOTE** Things like the docFreqs (and therfore queryWeight &
fieldWeight) are NOT going to be comparable because my index *only* had
those two documents ... the key here is to compare the fieldNorms below
with the fieldNorms from the same documents in your query...
http://www-a4.staging.mcdonalds.com/us/en/home.html
0.004108005 = (MATCH) product of:
.0.028756034 = (MATCH) sum of:
..0.028756034 = (MATCH) weight(keywords:big in 0) [DefaultSimilarity],
...0.028756034 = score(doc=0,freq=1.0 = termFreq=1.0), product of:
....0.2629123 = queryWeight, product of:
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.2629123 = queryNorm
....0.109375 = fieldWeight in 0, product of:
.....1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.109375 = fieldNorm(doc=0)
.0.14285715 = coord(1/7)
http://www-a4.staging.mcdonalds.com/us/en/our_story/replacement-to-new-search/BigMac.html
0.07352274 = (MATCH) product of:
.0.25732958 = (MATCH) sum of:
..0.14230545 = (MATCH) weight(description:big in 1) [DefaultSimilarity],
...0.14230545 = score(doc=1,freq=3.0 = termFreq=3.0), product of:
....0.2629123 = queryWeight, product of:
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.2629123 = queryNorm
....0.54126585 = fieldWeight in 1, product of:
.....1.7320508 = tf(freq=3.0), with freq of: 3.0 = termFreq=3.0
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.3125 = fieldNorm(doc=1)
..0.115024135 = (MATCH) weight(title:big in 1) [DefaultSimilarity],
...0.115024135 = score(doc=1,freq=1.0 = termFreq=1.0), product of:
....0.2629123 = queryWeight, product of:
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.2629123 = queryNorm
....0.4375 = fieldWeight in 1, product of:
.....1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0
.....1.0 = idf(docFreq=1, maxDocs=2)
.....0.4375 = fieldNorm(doc=1)
.0.2857143 = coord(2/7)
...the fieldNorm for "home.html" is the same, but the fieldNorm(s) for
BigMac.html are much higher. The only explanation I have is that your CMS
is sending fractional "boost" values at index time for some documents
(again -- i speculate it might based on how "deep" the page is in your
site, in an attempt to "promote" higher level pages)
-Hoss
http://www.lucidworks.com/
RE: Why do documents without the search query term rank highest
Posted by Scotten Stuart <St...@us.mcd.com>.
Hi
I think this is what you requested - the query 'big' as entered into the Solr dashboard with Debug applied - I have also attached the Schema and Config files
Again, my confusion is why the document 'Home' appears ahead of the document 'Big Mac' in the ranking when the query term 'big' only appears once in 'Home' but several times in 'Big Mac'?
Thank you for your thoughts
Stuart
<response>
<lst name="responseHeader">
<int name="status">0</int>
<int name="QTime">4</int>
<lst name="params">
<str name="debugQuery">true</str>
<str name="indent">true</str>
<str name="q">
description: big OR keywords:big OR url:big OR title:big OR anchor:big OR site:big OR type:big
</str>
<str name="wt">xml</str>
<str name="rows">5</str>
</lst>
</lst>
<result name="response" numFound="7" start="0">
<doc>
<str name="content">
Home :: McDonalds.com Menu Burgers & Sandwiches Chicken & Fish Breakfast Salads Snacks & Sides Beverages McCafé Desserts & Shakes Full Menu Meal Bundles Favorites Under 400 Dollar Menu & More Extra Value Meals Happy Meals Mighty Kids Meals Food Quality Nutrition Choices See What We're Made Of Trends & Innovation Our Food. Your Questions. View all promotions Our History Our People Leadership Our Communities Values In Action Corporate Info News New Search II Replacement to New Search Our People Working Here Training & Education Benefits Careers for Veterans Gift Cards Free Wi-Fi PlayPlace & Parties Subscriptions Home Share My Meal Builder items Try it now Our food. Your questions. Lovin' this way Join our Email list X You're In! Thanks for signing up! Complete Your Profile X This is your inside scoop to events, promotions, how we make our food and what we're doing to give back. Email required Zipcode required By clicking "Subscribe" you agree to receive emails, promotions, and general lovin' messages from McDonald's. Subscribe On the list already? Update your profile Follow Corporate * Privacy * Terms & Conditions * Subscriptions * ©2010-2015 McDonald's. All Rights Reserved
</str>
<str name="keywords">
united states, angus, third pounders, happy meal, big mac, mcmuffin, ronald, food, franchise, hamburger, cheeseburger, quarter pounder, fry, fries, RMHC, ronald mcdonald house charities, stock, mcdonald's corporation, view menu, menu, see menu, full menu, meal bundles, Dollar Menu, Extra Value Meals, Happy Meals, Mighty Kids Meals, burgers, sandwiches, drinks, beverages, breakfast, salads, beverages, McCafe, desserts and shakes, desserts, shakes, food quality, food, quality, nutrition, See What We're Made Of, trends, innovation, jobs, careers
</str>
<str name="title">Home :: McDonalds.com</str>
<str name="name_autocomplete">Home :: McDonalds.com</str>
<str name="segment">20151126024653</str>
<float name="boost">1.0198051</float>
<str name="digest">f6398a900a5d0adbf537b99ef9c6ffcc</str>
<date name="tstamp">2015-11-26T10:47:07.412Z</date>
<str name="description">
McDonald's in the USA: Food and nutrition info, franchise opportunities, job and career info, restaurant locations, promotional information, history, innovation and more.
</str>
<str name="id">
http://www-a4.staging.mcdonalds.com/us/en/home.html
</str>
<str name="url">
http://www-a4.staging.mcdonalds.com/us/en/home.html
</str>
<arr name="anchor">
<str>Home</str>
</arr>
<long name="_version_">1518901056269975552</long>
</doc>
<doc>
<str name="content">
Big Mac :: McDonalds.com Menu Burgers & Sandwiches Chicken & Fish Breakfast Salads Snacks & Sides Beverages McCafé Desserts & Shakes Full Menu Meal Bundles Favorites Under 400 Dollar Menu & More Extra Value Meals Happy Meals Mighty Kids Meals Food Quality Nutrition Choices See What We're Made Of Trends & Innovation Our Food. Your Questions. View all promotions Our History Our People Leadership Our Communities Values In Action Corporate Info News New Search II Replacement to New Search Our People Working Here Training & Education Benefits Careers for Veterans Gift Cards Free Wi-Fi PlayPlace & Parties Subscriptions Our Story / Replacement to New Search / Big Mac Share My Meal Builder items Join our Email list X You're In! Thanks for signing up! Complete Your Profile X This is your inside scoop to events, promotions, how we make our food and what we're doing to give back. Email required Zipcode required By clicking "Subscribe" you agree to receive emails, promotions, and general lovin' messages from McDonald's. Subscribe On the list already? Update your profile Join our team Meet our toughest critics See how stars are made Follow Corporate * Privacy * Terms & Conditions * Subscriptions * ©2010-2015 McDonald's. All Rights Reserved
</str>
<str name="keywords"/>
<str name="title">Big Mac :: McDonalds.com</str>
<str name="name_autocomplete">Big Mac :: McDonalds.com</str>
<str name="segment">20151126025325</str>
<float name="boost">0.017412648</float>
<str name="digest">32880656d144194cb1deadde3fbd08a8</str>
<date name="tstamp">2015-11-26T10:58:08.214Z</date>
<str name="description">Big Mac, BigMac, bigmac, biggmack, bigMac, Bigmac</str>
<str name="id">
http://www-a4.staging.mcdonalds.com/us/en/our_story/replacement-to-new-search/BigMac.html
</str>
<str name="url">
http://www-a4.staging.mcdonalds.com/us/en/our_story/replacement-to-new-search/BigMac.html
</str>
<arr name="anchor">
<str>Big Mac</str>
</arr>
<long name="_version_">1518901056324501504</long>
</doc>
<doc>
<str name="content">
What is in the Big Mac sauce? :: McDonalds.com Menu Burgers & Sandwiches Chicken & Fish Breakfast Salads Snacks & Sides Beverages McCafé Desserts & Shakes Full Menu Meal Bundles Favorites Under 400 Dollar Menu & More Extra Value Meals Happy Meals Mighty Kids Meals Food Quality Nutrition Choices See What We're Made Of Trends & Innovation Our Food. Your Questions. View all promotions Our History Our People Leadership Our Communities Values In Action Corporate Info News New Search II Replacement to New Search Our People Working Here Training & Education Benefits Careers for Veterans Gift Cards Free Wi-Fi PlayPlace & Parties Subscriptions Your Questions / Our Food / What is in the Big Mac sauce? Share My Meal Builder items What is in the Big Mac sauce? Ah, the age-old question of what's in our "secret sauce." But what good is a secret sauce if you can't keep it secret? Only kidding. Find a full list of ingredients here . What is in the Big Mac sauce? Join our Email list X You're In! Thanks for signing up! Complete Your Profile X This is your inside scoop to events, promotions, how we make our food and what we're doing to give back. Email required Zipcode required By clicking "Subscribe" you agree to receive emails, promotions, and general lovin' messages from McDonald's. Subscribe On the list already? Update your profile Follow Corporate * Privacy * Terms & Conditions * Subscriptions * ©2010-2015 McDonald's. All Rights Reserved
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Big Mac :: McDonalds.com Menu Burgers & Sandwiches Chicken & Fish Breakfast Salads Snacks & Sides Beverages McCafé Desserts & Shakes Full Menu Meal Bundles Favorites Under 400 Dollar Menu & More Extra Value Meals Happy Meals Mighty Kids Meals Food Quality Nutrition Choices See What We're Made Of Trends & Innovation Our Food. Your Questions. View all promotions Our History Our People Leadership Our Communities Values In Action Corporate Info News New Search II Replacement to New Search Our People Working Here Training & Education Benefits Careers for Veterans Gift Cards Free Wi-Fi PlayPlace & Parties Subscriptions Food / Product Nutrition Share My Meal Builder items {{itemMarketingName}} {{confirmationMessage || confirmationDefault}} {{mealbuilderLabel || mealbuilderDefault}} {{nutritionText || nutritionTextDefault}} Watch the Lopez Foods video Meet Steve - Beef Supplier Our food. Your questions. Important Note: At McDonald's, we take great care to serve quality, great-tasting menu items to our customers each and every time they visit our restaurants. We understand that each of our customers has individual needs and considerations when choosing a place to eat or drink outside their home, especially those customers with food allergies. As part of our commitment to you, we provide the most current ingredient information available from our food suppliers for the eight most common allergens as identified by the U.S. Food and Drug Administration (eggs, dairy, wheat, soy, peanuts, tree nuts, fish and shellfish), so that our guests with food allergies can make informed food selections. However, we also want you to know that despite taking precautions, normal kitchen operations may involve some shared cooking and preparation areas, equipment and utensils, and the possibility exists for your food items to come in contact with other food products, including other allergens. We encourage our customers with food allergies or special dietary needs to visit www.mcdonalds.com for ingredient information, and to consult their doctor for questions regarding their diet. Due to the individualized nature of food allergies and food sensitivities, customers' physicians may be best positioned to make recommendations for customers with food allergies and special dietary needs. If you have questions about our food, please reach out to us directly at mcdonalds.com/contact or 1- 800-244-6227. Thank you. Nutrient contributions from individual components may not equal the total due to federal rounding regulations. Percent Daily Values (DV) and RDIs are based on unrounded values. ** Percent Daily Values (DV) are based on a 2,000 calorie diet. Your daily values may be higher or lower depending on your calorie needs. The nutrition information on this website is derived from testing conducted in accredited laboratories, published resources, or from information provided from McDonald's suppliers. The nutrition information is based on standard product formulations and serving sizes (including ice for beverages). All nutrition information is based on average values for ingredients from McDonald's suppliers throughout the U.S. and is rounded to meet current U.S. FDA NLEA guidelines. Variation in serving sizes, preparation techniques, product testing and sources of supply, as well as regional and seasonal differences may affect the nutrition values for each product. In addition, product formulations change periodically. You should expect some variation in the nutrient content of the products purchased in our restaurants. Beverage sizes may vary in your market. McDonald's USA does not certify or claim any of its US menu items as Halal, Kosher or meeting any other religious requirements. We do not promote any of our US menu items as vegetarian, vegan or gluten-free. This information is correct as of May 2014, unless stated otherwise. SPLENDA® No Calorie Sweetener is the registered trademark of McNeil Nutritionals, LLC EQUAL® 0 Calorie Sweetener is a registered trademark of Merisant Company Join our Email list X You're In! Thanks for signing up! Complete Your Profile X This is your inside scoop to events, promotions, how we make our food and what we're doing to give back. Email required Zipcode required By clicking "Subscribe" you agree to receive emails, promotions, and general lovin' messages from McDonald's. Subscribe On the list already? Update your profile Follow Corporate * Privacy * Terms & Conditions * Subscriptions * ©2010-2015 McDonald's. All Rights Reserved
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A double layer of sear-sizzled 100% pure beef mingled with special sauce on a sesame seed bun and topped with melty American cheese, crisp lettuce, minced onions and tangy pickles
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Keystone Foods :: McDonalds.com Menu Burgers & Sandwiches Chicken & Fish Breakfast Salads Snacks & Sides Beverages McCafé Desserts & Shakes Full Menu Meal Bundles Favorites Under 400 Dollar Menu & More Extra Value Meals Happy Meals Mighty Kids Meals Food Quality Nutrition Choices See What We're Made Of Trends & Innovation Our Food. Your Questions. View all promotions Our History Our People Leadership Our Communities Values In Action Corporate Info News New Search II Replacement to New Search Our People Working Here Training & Education Benefits Careers for Veterans Gift Cards Free Wi-Fi PlayPlace & Parties Subscriptions ... / See What We're Made Of / Meet Our Suppliers / Keystone Foods Share My Meal Builder items Keystone Foods It all started with a small family-owned beef business in Philadelphia, and a man with big ideas and an innovative spirit. Innovators & History Makers In the 1960's one of the family members, Herb Lotman, sought to find a way to freeze beef patties that would keep them at their peak of fresh taste and texture. This led him to pioneer a completely new Individual Quick Freezing process. Herb introduced the IQF hamburger patty to McDonald's, and made a deal with them to provide IQF burger patties. On the strength of this contract, Herb founded Keystone Foods, which today is one of the world's biggest food companies. They make and deliver food products to 13 countries in North America, Asia, Europe, Australia, New Zealand and the Middle East, and the IQF method Herb developed is still in use worldwide. Keystone proved to be true innovators yet again in the early 1970's, when they teamed up with McDonald's to develop a total distribution concept. Here, everything needed to run a McDonald's restaurant was provided in one customized delivery, enabling restaurant managers to save time and focus on customer service. A few years later, McDonald's developed Chicken McNuggets, which revolutionized the way Americans ate chicken. Almost overnight, a huge demand for boneless chicken meat was created, and the quick service food industry changed forever. Today, Keystone's US operations are proud to produce and deliver the highest quality beef, chicken and fish products to McDonald's, including 400 million pounds of chicken, 260 million pounds of beef, and 25 million pounds of fish a year. They go above and beyond USDA regulations to meet McDonald's strict animal welfare, product safety and quality requirements. And of course, Keystone is proud to continue to innovate and partner with McDonald's as "one of the greatest restaurant success stories in history." Food Quality Nutrition Choices See What We're Made Of Meet Our Suppliers Gavina Gourmet Coffee Lopez Foods Keystone Foods 100 Circle Farms Moms' Quality Correspondents Trends & Innovation Our Food. Your Questions. See our sandwiches Love our Chicken McNuggets Join our Email list X You're In! Thanks for signing up! Complete Your Profile X This is your inside scoop to events, promotions, how we make our food and what we're doing to give back. Email required Zipcode required By clicking "Subscribe" you agree to receive emails, promotions, and general lovin' messages from McDonald's. Subscribe On the list already? Update your profile Follow Corporate * Privacy * Terms & Conditions * Subscriptions * ©2010-2015 McDonald's. All Rights Reserved
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Meet our trusted chicken suppliers, who helped us change restaurant history overnight.
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Thanks
Stuart
PMP, Business Technical Analyst | CRS Consultant | Corporate IT Digital | McDonald's Corporation
2111 McDonald's Drive | Oak Brook, IL 60523 USA
Office: +1 630.623.5950 | Cell: 301.633.3298 | Stuart.Scotten@US.McD.com
-----Original Message-----
From: Chris Hostetter [mailto:hossman_lucene@fucit.org]
Sent: Tuesday, December 01, 2015 10:54 AM
To: solr-user@lucene.apache.org
Subject: Re: Why do documents without the search query term rank highest
: I would suggest you ask on a forum related to Adobe CQ. There are many
: ways in which CQ could be issuing queries against Solr, and without
: insight into that, people here aren't that likely to be able to help you
: - unless they happen to also use CQ, which probably amounts to a very
: small portion of this community.
If you have access to the Solr logs, and can provide us with the configs, schema, and requests being made by your frontend, then folks might be able to help explain the results.
In particular, if you can figure out what query the front end is making, then make that same query with "debug=true" added to the request, and provide that entire output here, then that will help explain everything about the queries being executed and wy the results are getting the scores hey have...
https://wiki.apache.org/solr/UsingMailingLists
: > For example, searching for 'big' bring back 'Home' as the top result
: > and 'Big Mac as the second result - see here
: > http://www-a4.staging.mcdonalds.com/us/en/search/search_results.html?search=simple&queryText=burger&collection=usmcd
FWIW: That URL doesn't do a search for "big" ... pretty sure you ment...
http://www-a4.staging.mcdonalds.com/us/en/search/search_results.html?search=simple&queryText=big&collection=usmcd
-Hoss
http://www.lucidworks.com/
________________________________
The information contained in this e-mail and any accompanying documents is confidential, may be privileged, and is intended solely for the person and/or entity to whom it is addressed (i.e. those identified in the "To" and "cc" box). They are the property of McDonald's Corporation. Unauthorized review, use, disclosure, or copying of this communication, or any part thereof, is strictly prohibited and may be unlawful. If you have received this e-mail in error, please return the e-mail and attachments to the sender and delete the e-mail and attachments and any copy from your system. McDonald's thanks you for your cooperation.
Re: Why do documents without the search query term rank highest
Posted by Chris Hostetter <ho...@fucit.org>.
: I would suggest you ask on a forum related to Adobe CQ. There are many
: ways in which CQ could be issuing queries against Solr, and without
: insight into that, people here aren't that likely to be able to help you
: - unless they happen to also use CQ, which probably amounts to a very
: small portion of this community.
If you have access to the Solr logs, and can provide us with the
configs, schema, and requests being made by your frontend, then folks
might be able to help explain the results.
In particular, if you can figure out what query the front end is making,
then make that same query with "debug=true" added to the request, and
provide that entire output here, then that will help explain everything
about the queries being executed and wy the results are getting the
scores hey have...
https://wiki.apache.org/solr/UsingMailingLists
: > For example, searching for 'big' bring back 'Home' as the top result
: > and 'Big Mac as the second result - see here
: > http://www-a4.staging.mcdonalds.com/us/en/search/search_results.html?search=simple&queryText=burger&collection=usmcd
FWIW: That URL doesn't do a search for "big" ... pretty sure you ment...
http://www-a4.staging.mcdonalds.com/us/en/search/search_results.html?search=simple&queryText=big&collection=usmcd
-Hoss
http://www.lucidworks.com/
RE: Why do documents without the search query term rank highest
Posted by Scotten Stuart <St...@us.mcd.com>.
Thank you!
Thanks
Stuart
PMP, Business Technical Analyst | CRS Consultant | Corporate IT Digital | McDonald's Corporation
2111 McDonald's Drive | Oak Brook, IL 60523 USA
Office: +1 630.623.5950 | Cell: 301.633.3298 | Stuart.Scotten@US.McD.com
-----Original Message-----
From: Upayavira [mailto:uv@odoko.co.uk]
Sent: Tuesday, December 01, 2015 10:47 AM
To: solr-user@lucene.apache.org
Subject: Re: Why do documents without the search query term rank highest
I would suggest you ask on a forum related to Adobe CQ. There are many ways in which CQ could be issuing queries against Solr, and without insight into that, people here aren't that likely to be able to help you
- unless they happen to also use CQ, which probably amounts to a very small portion of this community.
Upayavira
On Tue, Dec 1, 2015, at 04:36 PM, Scotten Stuart wrote:
> Hi All,
>
> I hope this is the way to ask a question - please guide me if there is
> a different protocol
>
> I have a question about results ranking for Solr V4.2 in combination
> with the CMS tool Adobe CQ (V5.6).
>
> Despite trying different ways to configure the ranking of documents I
> am confused why content that does not have even one mention of the
> search query ranks higher than documents that are actually titled with
> the search query.
>
> For example, searching for 'big' bring back 'Home' as the top result
> and 'Big Mac as the second result - see here
> http://www-a4.staging.mcdonalds.com/us/en/search/search_results.html?s
> earch=simple&queryText=burger&collection=usmcd
>
>
> Any thoughts would be very welcome
>
> Thanks
> Stuart
> PMP, Business Technical Analyst | CRS Consultant | Corporate IT
> Digital | McDonald's Corporation
> 2111 McDonald's Drive | Oak Brook, IL 60523 USA
> Office: +1 630.623.5950 | Cell: 301.633.3298 |
> Stuart.Scotten@US.McD.com
>
>
>
> ________________________________
>
> The information contained in this e-mail and any accompanying
> documents is confidential, may be privileged, and is intended solely
> for the person and/or entity to whom it is addressed (i.e. those identified in the "To"
> and "cc" box). They are the property of McDonald's Corporation.
> Unauthorized review, use, disclosure, or copying of this
> communication, or any part thereof, is strictly prohibited and may be
> unlawful. If you have received this e-mail in error, please return the
> e-mail and attachments to the sender and delete the e-mail and
> attachments and any copy from your system. McDonald's thanks you for your cooperation.
________________________________
The information contained in this e-mail and any accompanying documents is confidential, may be privileged, and is intended solely for the person and/or entity to whom it is addressed (i.e. those identified in the "To" and "cc" box). They are the property of McDonald's Corporation. Unauthorized review, use, disclosure, or copying of this communication, or any part thereof, is strictly prohibited and may be unlawful. If you have received this e-mail in error, please return the e-mail and attachments to the sender and delete the e-mail and attachments and any copy from your system. McDonald's thanks you for your cooperation.
Re: Why do documents without the search query term rank highest
Posted by Upayavira <uv...@odoko.co.uk>.
I would suggest you ask on a forum related to Adobe CQ. There are many
ways in which CQ could be issuing queries against Solr, and without
insight into that, people here aren't that likely to be able to help you
- unless they happen to also use CQ, which probably amounts to a very
small portion of this community.
Upayavira
On Tue, Dec 1, 2015, at 04:36 PM, Scotten Stuart wrote:
> Hi All,
>
> I hope this is the way to ask a question - please guide me if there is a
> different protocol
>
> I have a question about results ranking for Solr V4.2 in combination with
> the CMS tool Adobe CQ (V5.6).
>
> Despite trying different ways to configure the ranking of documents I am
> confused why content that does not have even one mention of the search
> query ranks higher than documents that are actually titled with the
> search query.
>
> For example, searching for 'big' bring back 'Home' as the top result and
> 'Big Mac as the second result - see here
> http://www-a4.staging.mcdonalds.com/us/en/search/search_results.html?search=simple&queryText=burger&collection=usmcd
>
>
> Any thoughts would be very welcome
>
> Thanks
> Stuart
> PMP, Business Technical Analyst | CRS Consultant | Corporate IT Digital |
> McDonald's Corporation
> 2111 McDonald's Drive | Oak Brook, IL 60523 USA
> Office: +1 630.623.5950 | Cell: 301.633.3298 | Stuart.Scotten@US.McD.com
>
>
>
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