Workshop on context-aware recommender systems

Gediminas Adomavicius, Francesco Ricci, Konstantin Bauman, Alexander Tuzhilin, Bamshad Mobasher, Moshe Unger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Contextual information has been widely recognized as an important modeling dimension both in social sciences and in computing. In particular, the role of context has been recognized in enhancing recommendation results and retrieval performance. While a substantial amount of existing research has focused context-aware recommender systems (CARS), many interesting problems remain under-explored. The CARS 2019 workshop provides a venue for presenting and discussing approaches for next generation of CARS and application domains that may require a variety of dimensions of contexts and cope with its dynamic properties.

Original languageEnglish (US)
Title of host publicationRecSys 2019 - 13th ACM Conference on Recommender Systems
PublisherAssociation for Computing Machinery, Inc
Pages548-549
Number of pages2
ISBN (Electronic)9781450362436
DOIs
StatePublished - Sep 10 2019
Event13th ACM Conference on Recommender Systems, RecSys 2019 - Copenhagen, Denmark
Duration: Sep 16 2019Sep 20 2019

Publication series

NameRecSys 2019 - 13th ACM Conference on Recommender Systems

Conference

Conference13th ACM Conference on Recommender Systems, RecSys 2019
CountryDenmark
CityCopenhagen
Period9/16/199/20/19

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

Keywords

  • Context
  • Context-aware recommendation
  • Sequence-aware recommendation

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