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Therefore, when recommending activity items e. In this paper, we identify the usefulness of suggesting activity partners together with items in recommender systems.

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In addition, we propose and compare several methods for activity-partner recommendation. Our study includes experiments that test the practical value of activity-partner recommendation and evaluate the effectiveness of all suggested methods as well as some alternative strategies.

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Activity-Partner Recommendation. Conference paper First Online: This process is experimental and the keywords may be updated as the learning algorithm improves. This is a preview of subscription content, log in to check access.

Zheng, V. Collaborative location and activity recommendations with gps history data.

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WWW, pp. Adamic, L.

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Friends and neighbors on the web. Su, X.

A survey of collaborative filtering techniques. Pazzani, M.

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Content-based recommendation systems. The Adaptive Web, pp.

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Activity-Partner Recommendation | SpringerLink

Sarwar, B. Item-based collaborative filtering recommendation algorithms. Koren, Y. Matrix factorization techniques for recommender systems. Computer 42 830—37 CrossRef Google Scholar.

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He, Q. Context-aware citation recommendation.

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Linden, G. Item-to-item collaborative filtering.

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Wu, S. Patent partner recommendation in enterprise social networks.

WSDM, pp. Hannon, J.

Recommending twitter users to follow using content and collaborative filtering approaches. RecSys, pp.

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Gorla, J. Probabilistic group recommendation via information matching.

Personalised recommendations. Cite paper How to cite? ENW EndNote. Buy options.