Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts
نویسندگان
چکیده
منابع مشابه
Improving Recommendation Diversity
Recommender systems offer users a more intelligent and personalised mechanism to seek out new information. Content-based recommender systems generally prefer to retrieve a set of items maximally similar to a users’ query and/or profile. We argue that as new types of recommendation domains and tasks emerge, this blind faith in the similarity assumption begins to seem flawed. We show that very of...
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Diversifying the recommendation lists in recommendation systems could potentially satisfy user’s needs. Most diversification techniques are designed to recommend the top-k relevant and diverse items, which take the coverage of the user preferences into account. The relevance scores are usually estimated by methods such as latent matrix factorization. While in this paper, we model the users’ int...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2984365