-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] Call for papers: The 1st International Workshop on Temporal Reasoning in Recommendation Systems (TempRRS 2017) Datum: Thu, 23 Mar 2017 17:24:11 +0200 Von: Tsvi Kuflik tsvikak@is.haifa.ac.il An: AISWorld@lists.aisnet.org

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:maria.bielikova@stuba.sk maria.bielikova@stuba.sk, Slovak University of Technology, Bratislava

Veronika Bogina, sveron@gmail.com mailto:sveron@gmail.com , The University of Haifa, Israel

Tsvi Kuflik, tsvikak@is.haifa.ac.il mailto:tsvikak@is.haifa.ac.il , The University of Haifa, Israel

Roy Sasson, roy.sasson@gmail.com mailto:roy.sasson@gmail.com , 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: tsvikak@is.haifa.ac.il mailto:tsvikak@is.haifa.ac.il

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

Tel: +972 4 8288511

Fax: +972 4 8288283