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http://dx.doi.org/10.6109/jkiice.2015.19.3.543

A Study on Recommender Technique Applying User Activity and Time Information  

Yun, So-Young (Department of Computer Engineering, Pukyong National University)
Youn, Sung-Dae (Department of Computer Engineering, Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.3, 2015 , pp. 543-551 More about this Journal
Abstract
As the use of internet and mobile devices became generalized, users utilizing search and recommendation in order to find the information they want in the midst of various websites have become common. In order to recommend more appropriate item for users, this paper proposes a recommendation technique that reflects the users' preference change following the flow of time by applying users' activity and time information. The proposed technique, after classifying the data in categories including the tag information that is considered at the time of choosing the items, only uses the data that users' preference change following the flow of time is reflected. For the users who prefer the corresponding category, the item that is extracted by applying tag information to collaboration filtering technique is recommended and for general users, items are recommended based on the ranking calculated by using the tag information. The proposed technique was experimented by using hetrec2011-movielens-2k data set. The experiment result indicated that the proposed technique has been more enhanced the accuracy, appropriacy, compared to item-based, user-based method.
Keywords
Recommender Technique; Collaborative Filtering; User Information; Similarity; Weight;
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Times Cited By KSCI : 2  (Citation Analysis)
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