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Workshop on Context-Aware Recommender Systems

Authors :
Moshe Unger
Francesco Ricci
Konstantin Bauman
Alexander Tuzhilin
Gediminas Adomavicius
Bamshad Mobasher
Source :
RecSys
Publication Year :
2020
Publisher :
ACM, 2020.

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 on context-aware recommender systems (CARS), many interesting problems remain under-explored. The CARS 2020 workshop provides a venue for presenting and discussing approaches for the next generation of CARS and application domains that may require the use of novel types of contextual information and cope with their dynamic properties in online environments.

Details

Database :
OpenAIRE
Journal :
Fourteenth ACM Conference on Recommender Systems
Accession number :
edsair.doi.dedup.....e5dab00a443d8444f9ac2c4ed5c0cdfc
Full Text :
https://doi.org/10.1145/3383313.3411533