Semantic Interest Modeling and Content-Based Scientific Publication Recommendation Using Word Embeddings and Sentence Encoders

Semantic Interest Modeling and Content-Based Scientific Publication Recommendation Using Word Embeddings and Sentence Encoders

The fast growth of data in the academic field has contributed to making recommendation systems for scientific papers more popular. Content-based filtering (CBF), a pivotal technique in recommender systems (RS), holds particular significance in the realm of scientific publication recommendations. In...

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Bibliographic Details
Main Authors: Mouadh Guesmi, Mohamed Amine Chatti, Lamees Kadhim, Shoeb Joarder, Qurat Ul Ain
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Multimodal Technologies and Interaction
Subjects:
semantic user modeling
content-based recommender system
word embedding
sentence encoder
Online Access:https://www.mdpi.com/2414-4088/7/9/91

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https://www.mdpi.com/2414-4088/7/9/91

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