Personalized, Aspect-based Summarization of Movie Reviews

Autor: El Aouad, Sara

Publikováno v: Artificial Intelligence [cs.AI]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS019⟩
Computer Science [cs]. Sorbonne universite, 2019. English

Online reviewing websites help users decide what to buy or places to go. These platforms allow users to express their opinions using numerical ratings as well as textual comments. The numerical ratings give a coarse idea of the service. On the other

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1274c1ecd490617b0a95e0ae6115d975
https://inria.hal.science/tel-02444980

Exploiting Crowd Sourced Reviews to Explain Movie Recommendation

Autor: Christophe Dupuy, Renata Teixeira, Francis Bach, Christophe Diot, Sara El Aouad

Publikováno v: Networked Systems ISBN: 9783319461397
NETYS
2nd Workshop on Recommendation Systems for TELEVISION and ONLINE VIDEO
2nd Workshop on Recommendation Systems for TELEVISION and ONLINE VIDEO, Sep 2015, Vienna, Austria

International audience; Streaming services such as Netflix, M-Go, and Hulu use advanced recommender systems to help their customers identify relevant content quickly and easily. These recommenders display the list of recommended movies organized in s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6290fca510f4351ed53c3e1b6f1575e4
https://doi.org/10.1007/978-3-319-46140-3_15