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