Contextual-Boosted Deep Neural Collaborative Filtering Approach for Arabic Textual Documents Recommendation

Ons Meddeb, Mohsen Maraoui, Mounir Zrigui


Anthology ID:
2022.paclic-1.54
Volume:
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation
Month:
October
Year:
2022
Address:
Manila, Philippines
Editors:
Shirley Dita, Arlene Trillanes, Rochelle Irene Lucas
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
485–493
Language:
URL:
https://aclanthology.org/2022.paclic-1.54
DOI:
Bibkey:
Cite (ACL):
Ons Meddeb, Mohsen Maraoui, and Mounir Zrigui. 2022. Contextual-Boosted Deep Neural Collaborative Filtering Approach for Arabic Textual Documents Recommendation. In Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, pages 485–493, Manila, Philippines. Association for Computational Linguistics.
Cite (Informal):
Contextual-Boosted Deep Neural Collaborative Filtering Approach for Arabic Textual Documents Recommendation (Meddeb et al., PACLIC 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-2/2022.paclic-1.54.pdf