[AISWorld] Deadline approaching - August 30th...Call for Papers - RecTemp 2024 - co-located with RecSys 2024 in Bari, Italy - deadline extended to August 30th

[Tsvi Kuflik]

The RecTemp 2024  will be held in conjunction with The ACM Conference on
Recommender Systems (RecSys) in Bari, Italy, 14–18 October 2024.

https://sites.google.com/view/rectemp

 

The RecTemp 2024 workshop is dedicated to the exploration and advancement of
temporal dynamics in recommender systems. This specialized workshop seeks to
spotlight the pivotal role that temporal data plays in enhancing the
accuracy and relevance of recommendations across diverse applications, from
digital media to e-commerce, and beyond. As the digital landscape evolves,
so too does the complexity of user interactions and behaviors, which are
increasingly influenced by various temporal factors. Traditional recommender
systems that overlook these dynamic elements may fail to capture the full
spectrum of user preferences that change over time. Therefore, understanding
and integrating these temporal dimensions is crucial for developing more
sophisticated, responsive, and personalized recommendation technologies.
RecTemp 2024 invites the global community of researchers, industry
professionals, and academics to contribute their insights and research on
how temporal reasoning can be effectively incorporated into recommender
systems. By bringing together a wide range of perspectives, the workshop
aims to foster a rich dialogue about the state-of-the-art methodologies,
challenges, and innovations in this field. Participants will have the
opportunity to present their findings, discuss theoretical and practical
challenges, share novel approaches, and explore future directions for
temporal reasoning in recommender systems.

We look forward to your contributions and to an engaging exchange of ideas
that will push the boundaries of current recommender system capabilities and
pave the way for new advancements. 

 

Topics:

•  Case studies highlighting the critical role of temporal factors.

•  Methods for integrating temporal data into recommendation algorithms.

•  Strategies for comprehensive data integration.

•  Utilization of diverse data sources, including catalogs and usage logs.

•  Solutions to the cold-start problem using temporal data insights.

•  Enhancing personalization and group recommendations with temporal
analysis.

•  Exploring cross-domain temporal patterns for broader insights.

•  Enriching temporal data with side information to improve recommendations.

•  Exploring the impact of temporal aspects on the application of LLMs in
recommender systems.

 

Submission Types and Guidelines:

•  Long papers ¬ 6-8 pages + references.

•  Short pages: 4 pages + references.

•  Position/Demo papers: 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
(two-column conference format).

•  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.

•  An international panel of experts will review all submissions.

 

Important Dates:

•  Paper submission deadline: August 30th , 2024

 

Tsvika

Tsvi Kuflik, PhD.

Professor of Information Systems,

  Information Systems department,

  The University of Haifa

  Email: tsvikak at is.haifa.ac.il <mailto:tsvikak at is.haifa.ac.il> 

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

  Tel: +972 4 8288511

  Fax: +972 4 8288283