Traditional recommender systems have always suffered from cold start and data sparsity problems by leveraging only a rating matrix. Social recommender systems try to address such problems by leveraging the user's social information, such as trust relationships, as auxiliary information.
The essence of social recommendation methods is to utilize the user's explicit social connections to improve recommendation results. However, this information ...
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Recommender System Using Implicit Social Information - J-Stage
www.jstage.jst.go.jp › transinf › _pdf
Feb 2, 2015 · SUMMARY. Social recommendation systems that make use of the user's social information have recently attracted considerable attention.
However, explicit social information is not always available in most of the recommender systems, which limits the impact of social recommendation techniques.
Abstract ; Publication: IEICE Transactions on Information and Systems ; Pub Date: 2015 ; DOI: 10.1587/transinf.2014EDP7174 ; Bibcode: 2015IEITI..98..346L.
May 5, 2024 · In this chapter we categorize different types of implicit feedback and review their use in the context of recommender systems and Social.
Jul 11, 2021 · In a GCN network, explicit and implicit influence are integrated to learn the social embedding of users and items in social recommendation.
Jan 16, 2022 · Building a recommender system that provides personalized recommendations to customers based on their purchasing history.
Recommender systems attempt to suggest information that is of potential interest to users helping them to quickly find information relevant to them.
Jul 9, 2018 · Recommender systems try to propose a list of main interests of an on line social network user based on his predicted rating values.