TempRRS 2017: 1st International Conference on Temporal Reasoning in Recommender Systems RecSys 2017 Como, Italy, August 27-30, 2017 |
Conference website | https://sites.google.com/edu.haifa.ac.il/tempreasoninginrs/home?authuser=2 |
Submission link | https://easychair.org/conferences/?conf=temprrs2017 |
Abstract registration deadline | June 22, 2017 |
Submission deadline | June 22, 2017 |
The 1st International Workshop on Temporal Reasoning in Recommendation Systems (TempRRS 2017)
https://sites.google.com/edu.haifa.ac.il/tempreasoninginrs/home
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.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- 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.
All papers should be submitted in PDF format via the online submission system. (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.
List of Topics
- Specific applications and case studies where temporal aspects were considered (evaluation)
- Specific methods and techniques for integrating temporal aspects into the recommendations
- Integrating data
- 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
Committees
Organizing committee
- Maria Bielikova, maria.bielikova@stuba.sk, Slovak University of Technology, Bratislava
- Veronika Bogina, sveron@gmail.com, The University of Haifa, Israel
- Tsvi Kuflik, tsvikak@is.haifa.ac.il , The University of Haifa, Israel
- Roy Sasson, 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
Venue
TempRRS 2017 is co-located with ACM RecSys 2017, 27-30 August 2017 at Como, Italy
Contact
All questions about submissions should be emailed to Veronika Bogina (sveron@gmail.com)