The reciprocal recommender is a class of recommender system that is important for several tasks where people are both the subjects and objects of the recommendation. Some examples are: job recommendation, mentor-mentee matching, and online dating.
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Apr 11, 2024 · Reciprocal recommendation systems are used to recommend users to other users rather than items to users, where both users must reciprocate, i.e. ...
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Abstract. This paper introduces Reciprocal Recommenders, an impor- tant class of personalised recommender systems that has received little.
A reciprocal recommender, denoted by RR U ( x ) is a system whose output combines two unidirectional user-to-user recommenders R U ( x ) and R U ( y ) , ...
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Reciprocal recommenders must satisfy the preferences and needs of the two parties involved in the recommendation. In contrast, the traditional items-to-people ...
Reciprocal Recommenders is introduced, an important class of personalised recommender systems that has received little attention until now, ...
Aug 19, 2024 · Reciprocal recommender systems~(RRS), conducting bilateral recommendations between two involved parties, have gained increasing attention for ...
Mar 24, 2024 · Reciprocal recommender systems (RRS) have been widely used in online platforms such as online dating and recruitment. They can simultaneously ...
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People-to-people reciprocal recommenders are an emerging class of recommender systems. They differ from the traditional items-to-people recommenders.
A reciprocal recommendation problem is one where the goal of learning is not just to predict a user's preference towards a passive item (e.g., a book), but to.