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Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems
9 January 2024
Ngoc Luyen Lê
Marie-Hélène Abel
Philippe Gouspillou
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Papers citing
"Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems"
5 / 5 papers shown
Title
Display Content, Display Methods and Evaluation Methods of the HCI in Explainable Recommender Systems: A Survey
Weiqing Li
Yue Xu
Yuefeng Li
Yinghui Huang
23
0
0
14 May 2025
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
Chengkai Huang
Hongtao Huang
Tong Yu
Kaige Xie
Junda Wu
Shuai Zhang
Julian McAuley
Dietmar Jannach
Lina Yao
LRM
AI4CE
29
0
0
23 Apr 2025
A Survey of Controllable Learning: Methods and Applications in Information Retrieval
Chenglei Shen
Xiao Zhang
Teng Shi
Changshuo Zhang
Guofu Xie
Jun Xu
71
5
0
03 Jan 2025
Smart Multi-Modal Search: Contextual Sparse and Dense Embedding Integration in Adobe Express
Cherag Aroraa
Tracy Holloway King
Jayant Kumar
Yi Lu
Sanat Sharma
Arvind Srikantan
David Uvalle
Josep Valls-Vargas
Harsha Vardhan
17
0
0
26 Aug 2024
Apport des ontologies pour le calcul de la similarité sémantique au sein dún système de recommandation
Le Ngoc Luyen
Marie-Hélène Abel
Philippe Gouspillou
13
7
0
25 May 2022
1