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http://dx.doi.org/10.6109/jkiice.2014.18.2.379

The User Information-based Mobile Recommendation Technique  

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.18, no.2, 2014 , pp. 379-386 More about this Journal
Abstract
As the use of mobile device is increasing rapidly, the number of users is also increasing. However, most of the app stores are using recommendation of simple ranking method, so the accuracy of recommendation is lower. To recommend an item that is more appropriate to the user, this paper proposes a technique that reflects the weight of user information and recent preference degree of item. The proposed technique classifies the data set by categories and then derives a predicted value by applying the user's information weight to the collaborative filtering technique. To reflect the recent preference degree of item by categories, the average of items' rating values in the designated period is computed. An item is recommended by combining the two result values. The experiment result indicated that the proposed method has been more enhanced the accuracy, appropriacy, compared to item-based, user-based method.
Keywords
Recommender Technique; Collaborative Filtering; User Information; Similarity; Weight;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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