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Workshop on Context-Aware Recommender Systems
- 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.
- Subjects :
- Computer science
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Contextual information
020201 artificial intelligence & image processing
Context (language use)
02 engineering and technology
Dimension (data warehouse)
Recommender system
Data science
Subjects
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