In this paper, we introduce the notion of diversity in the recommender systems (RS). The aim is to provide the user with not only all the most relevant ...
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Abstract. In this paper, we introduce the notion of diversity in the recommender systems (RS). The aim is to provide the user with not only.
In this paper, we introduce the notion of diversity in the recommender systems (RS). The aim is to provide the user with not only all the most relevant ...
Diversification has become one of the leading topics of recommender system research not only as a way to solve the over-fitting problem but also an approach ...
Dec 2, 2023 · This strategy augments the diversity of recommendations while ensuring their relevance to individual users. By blending the strengths of both ...
Sep 28, 2015 · There is a pretty large body of research in diversity for Recommender Systems. As a starting point I recommend you read this Master Thesis ...
This is the first study to systematically compare diversity performances of the main types of recommendation models using benchmark datasets in different ...
Abstract. Recommender systems use data on past user preferences to predict possible future likes and interests. A key challenge is that while the most useful ...
Jul 10, 2023 · In this survey, we first discuss each of them individually and then dive into their connections. Additionally, motivated by the concepts of user ...
... diversity of articles. In this study, we propose a recommender system that introduces a mechanism to improve the linguistic diversity of articles, and show ...