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 2021 workshop provides a venue for presenting and discussing: the important features of 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 group recommendations and in online environments.
|Original language||English (US)|
|Title of host publication||RecSys 2021 - 15th ACM Conference on Recommender Systems|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||2|
|State||Published - Sep 13 2021|
|Event||15th ACM Conference on Recommender Systems, RecSys 2021 - Virtual, Online, Netherlands|
Duration: Sep 27 2021 → Oct 1 2021
|Name||RecSys 2021 - 15th ACM Conference on Recommender Systems|
|Conference||15th ACM Conference on Recommender Systems, RecSys 2021|
|Period||9/27/21 → 10/1/21|
Bibliographical notePublisher Copyright:
© 2021 Owner/Author.
- Context-Aware Recommendation
- Contextual Modeling
- Sequence-Aware Recommendation