CFP RecSysTV 2015

["J. Delgado" <jo...@gmail.com>]

Apologies for any cross-posting. Please distribute to colleagues who may be
interested.
-- Joaquin (on behalf of the Organizers)

CALL FOR PAPERS

2nd Workshop on Recommender Systems for Television and Online Video
http://www.recsys.tv

We are pleased to invite you to participate in the 2nd Workshop on
Recommender Systems for Television and Online Video (RecSysTV 2015) that is
happening in conjunction with the ACM RecSys 2015 conference in Vienna,
Austria from September 16th-20th 2015.

For many households the television is still the central entertainment hub
in their home, and the average TV viewer spends about half of their leisure
time in front of a TV (3-5 hours/day). The choice of what to watch becomes
more overwhelming though because the entertainment options are scattered
across various channels, such as on-demand video, digital recorders (on
premise or in the cloud) and the traditional linear TV. In addition,
consumers can also access the content not just on the big screen, but also
on their computers, phones, and tablet devices.

Recommendation systems provide TV users with suggestions about both online
video-on-demand and broadcast content and help them to search and browse
intelligently for content that is relevant to them.While many open
questions in video-on-demand recommendations have already been solved,
recommendation systems for broadcast content (e.g., linear channels and
catch-up TV) still experience a number of unique challenges due to the
peculiarity of such domain. For example, the content available on linear
channels is constantly changing and often only available once which leads
to severe cold start problems and we often consume TV in groups of varying
compositions (household vs individual) which makes building taste profiles
and modeling consumer behavior very challenging.

We encourage participation along several themes which include but are not
limited to:

** Context-aware TV and online video recommendations
   * Leveraging contextual viewing behaviour, e.g. device specific
recommendations
   * Mood based recommendations
   * Group recommendations
** User modeling & leveraging user viewing and interaction behavior
   * How can social media improve TV recommendations
   * Cross-domain recommendation algorithms (linear TV, video on demand,
DVR, gaming consoles)
   * Multi-viewer profile separation
   * Evaluation metrics for TV and online video recommendations
** Content-based TV and online video recommendations
   * Analysis techniques for video recommendations based on video, audio,
or closed caption signals
   * Utilization of external data sources (movie reviews, ratings, plot
summaries) for recommendations
** Other topics related to TV and online video recommendations
   * Video playlisting
   * Linear TV usage and box office success prediction
   * Catch-up TV recommendations
   * Personalized advertisement recommendations
   * Recommendations of 2nd screen web content
   * Recommendations of short form videos (previews, trailers, music videos)

IMPORTANT DATES

- Submission deadline: June 29, 2015
- Notification: July 20, 2015
- Camera-ready: July 27, 2015
- Deadline for author registration: August 16, 2015
- Workshop date: September 19, 2015 (full day)

SUBMISSION INFORMATION

We are soliciting submissions of long and short papers, as well as position
presentations.

Long paper are to represent original mature research and can be 6-8 pages
long. We request potential submitters to adhere to double-column ACM SIG
format in line with standard RecSys formatting guidelines.

Short papers are to represent early/promising research, demos or industrial
case studies and can be 4 pages in length (ACM RecSys style) or up to 20
slides.

Use the following website to electronically submit your paper:
https://cmt.research.microsoft.com/RECSYSTV2015/

Note that attendance at the workshop requires registration for the ACM
RecSys 2015 conference as a whole. This year there is no separate
registration for workshops. Each accepted workshop paper must register at
least one author at the conference.

ORGANIZING COMMITEE

Jan Neumann, Comcast Labs, Washington, DC (jan_neumann@cable.comcast.com)
John Hannon, Zalando
Roberto Turrin, ContentWise, Milan, Italy (roberto.turrin@contentwise.tv)
Danny Bickson, Dato, Seattle, WA (bickson@dato.com)
Hassan Sayyadi, Comcast Labs, Washington, DC (
hassan.sayyadi@cable.comcast.com)

PROGRAM COMMITEE

Hidasi Balazs, GravityR&D
Justin Basilico, Netflix
Craig Carmichael, Rovi
Emanuele Coviello, Keevio
Paolo Cremonesi, Politecnico di Milano
Joaquin Delgado, OnCue TV (Verizon)
Christophe Diot, Technicolor
Diana Hu, OnCue TV (Verizon)
Brendan Kitts, Adapt.TV (AOL)
Gert Lanckriet, UC San Diego
Royi Ronen, Microsoft
Barry Smyth, Insight Centre for Data Analytics
Udi Weinsberg, Technicolor Labs
Esti Widder, Viaccess-Orca
Jiayu Zhou, Samsung Research
David Zibriczky, ImpressTv

For up to date information about the workshop, please see the workshop
website at
www.RecSys.tv <http://www.recsys.tv/>