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From:
Tsvi Kuflik <[log in to unmask]>
Reply To:
Tsvi Kuflik <[log in to unmask]>
Date:
Mon, 5 Jun 2017 18:52:33 +0300
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Call for papers: The 1st International Workshop on Temporal Reasoning in
Recommendation Systems (TempRRS 2017)

 <https://sites.google.com/edu.haifa.ac.il/tempreasoninginrs/home>
https://sites.google.com/edu.haifa.ac.il/tempreasoninginrs/home

TempRRS 2017 is co-located with ACM RecSys 2017, 27-30 August 2017 at Como,
Italy

Abstract and Topics

 

The workshop focus is on considering temporal aspects for recommender
systems in general, regardless of the specific domain and application,
trying to develop a holistic approach for dealing with temporal aspects in
recommender system, like personal assistants, news, tourism, health care,
TV, e-commerce, social networks etc. 

Hitherto, temporal aspects of user activity in Recommender Systems were used
in two different scenarios: explicit feedback and implicit feedback. The
first one is related to explicitly expressing ratings for movies, for
example: Netflix prize data set contains timestamps associated with the
ratings. As it was shown using them improved rating prediction. On the other
hand, there is an implicit feedback data: e-commerce logs that describe user
shopping behavior contain timestamps that also can be used in identifying
user patterns (when user tend to purchase more in the morning and towards
the evening; on Mondays rather than the middle of the week, before the
holidays on August rather than other months and so on), building user
profiles, identifying similar users (for CF) and use all this useful
information for items to purchase recommendations. Not only e-commerce, but
other domains with web clickstreams, can be analyzed considering temporal
components. In recent years' Markovian model and sequential pattern-mining
methods were frequently used for such tasks. Recently temporal graphs and
Recurrent Neural Networks are also considered for sequential data analyses
and providing recommendations for people, communities, locations, etc.

 

The workshop aims at bringing together researchers and practitioners working
on temporal aspects in recommender systems domain in order to look at the
challenges from the point of view of the temporal aspects in user modelling
and recommender systems in order to provide relevant recommendations
regarding the representation and reasoning about temporal aspects. All in
all, the workshop aims at attracting presentations of novel ideas for
addressing these challenges and how to advance the current state of the art
in this field.

 

Important aspects and topics to be discussed evolve around:

*         Specific applications and case studies where temporal aspects were
considered (evaluation)

*         Specific methods and techniques for integrating temporal aspects
into the recommendations 

*         Integrating data

o    Exploiting data from various sources, i.e., catalogues, Linked Open
Data, and usage logs

*         Context and Mobility

*         Cold-Start Problem

*         Preference Elicitation

*         Temporal Personalization

*         Temporal aspects in group recommendations

*         Cross domain temporal patterns

 

Submissions

Page limits: Long papers - 6 pages + references; 

Short pages: 4 pages + references; 

Position paper/Demo paper 2 pages + references.

Note that the references do not count towards page limits. Papers that
exceed the page limits or formatting guidelines will be returned without
review.

Submissions should be single blinded, i.e. authors names should be included
in the submissions.

Papers must be formatted using the ACM Standard SIGCONF templates:
<http://www.acm.org/publications/proceedings-template>
http://www.acm.org/publications/proceedings--template.

All papers should be submitted in PDF format via the online submission
system. ( <https://easychair.org/conferences/?conf=temprrs2017>
https://easychair.org/conferences/?conf=temprrs2017).

An international panel of experts will review all submissions.

Demos need to provide links to the systems presented. Work that has already
been published should not be submitted unless it introduces a significant
addition to the previously published work.

 

Important dates:

June,22 2017: Submission deadline 

July 26, 2017: Notification deadline 

August 12, 2017: Camera-Ready deadline 

Workshop organizers

Maria Bielikova,  <mailto:[log in to unmask]>
[log in to unmask], Slovak University of Technology, Bratislava

Veronika Bogina, [log in to unmask] <mailto:[log in to unmask]> , The University
of Haifa, Israel

Tsvi Kuflik, [log in to unmask] <mailto:[log in to unmask]>  , The
University of Haifa, Israel

Roy Sasson, [log in to unmask] <mailto:[log in to unmask]> , Outbrain,
Israel

 

Program committee

Shlomo Berkovsky, CSIRO

Peter Dolog, Department of Computer Science, Aalborg University

Judy Kay, University of Sydney

David Konopnicki, IBM

Bamshad Mobasher, DePaul University

Osnat Mokryn, University of Haifa

 

Tsvika

 

Tsvi Kuflik, PhD.

  Associate Professor

  The University of Haifa

  Email: [log in to unmask] <mailto:[log in to unmask]> 

  Home page:  <https://sites.hevra.haifa.ac.il/tsvikak>
https://sites.hevra.haifa.ac.il/tsvikak

  Tel: +972 4 8288511

  Fax: +972 4 8288283



 


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