Reciprocal recommender system online dating

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reciprocal recommender system online dating-85

Different from traditional user-item recommendations where the goal is to match items (e.g., books, videos) with a user’s interests, a recommendation system for online dating aims to match people who are mutually interested in and likely to communicate with each other.

We introduce similarity measures that capture the unique features and characteristics of the online dating network, for example, the interest similarity between two users if they send messages to same users, and attractiveness similarity if they receive messages from same users.

Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval—Information filtering General Terms Algorithms, Experimentation Keywords Recommender systems, Online Dating, Reciprocity 1.

INTRODUCTION Recommender systems have been largely based on the goal of providing a user with a set of recommended items that the system predicts that the user will like.

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In this paper, we focus on a rather neglected, but important, class of recommenders which we call reciprocal recommenders because Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.

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