ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2401.04474
  4. Cited By
Combining Embedding-Based and Semantic-Based Models for Post-hoc
  Explanations in Recommender Systems

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
ArXivPDFHTML

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
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
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
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
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
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