Description-based Post-hoc Explanation for Twitter List Recommendations

Twitter List recommender systems can generate highly accurate recommendations, but since they employ heterogeneous information of users and Lists and apply complex prediction models, they cannot provide easy understandable intrinsic explanations. To address this limitation, Twitter List descriptions...

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Bibliographic Details
Main Authors: Havva Alizadeh Noughabi, Behshid Behkamal, Mohsen Kahani
Format: Article
Language:English
Published: Ferdowsi University of Mashhad 2024-12-01
Series:Computer and Knowledge Engineering
Subjects:
Online Access:https://cke.um.ac.ir/article_45395_1c89aae7af5bb5910ceec68253f32739.pdf
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