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 language||English (US)|
|Title of host publication||RecSys 2019 - 13th ACM Conference on Recommender Systems|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||2|
|State||Published - Sep 10 2019|
|Event||13th ACM Conference on Recommender Systems, RecSys 2019 - Copenhagen, Denmark|
Duration: Sep 16 2019 → Sep 20 2019
|Name||RecSys 2019 - 13th ACM Conference on Recommender Systems|
|Conference||13th ACM Conference on Recommender Systems, RecSys 2019|
|Period||9/16/19 → 9/20/19|
Bibliographical notePublisher Copyright:
© 2019 Association for Computing Machinery.
Copyright 2020 Elsevier B.V., All rights reserved.
- Context-aware recommendation
- Sequence-aware recommendation