Earticle

초록

영어

Recently, several approaches to recommendation systems have been studied. A recommender system aims to provide personalized recommendations to users for specific items. Most of these systems always provide the most relevant items of users or items. Traditionally, the evaluation of recommender system quality has focused on the various predictive accuracy metrics of these. However, recommender system must be not only accurate but also useful to users. User satisfaction with recommender systems as an evaluation criterion of recommender system is related not only to how accurately the system recommends but also to how much it supports the user’s decision making. In particular, highly serendipitous recommendation would help a user to find a surprising and interesting item. Serendipity in this study is defined as a measure of the extent to which the recommended items are both attractive and surprising to the users. Therefore, this paper proposes an application of serendipity measure to recommender systems to improve the performance of recommender systems. In this study we define relevant or attractive unexpectedness as serendipity measure for assessing recommendation systems. That is, serendipity measure is evaluated as the measure indicating how the recommender system can find unexpected and useful items for users. Our experimental results show that highly serendipitous recommendation has better performance than the other recommendations in terms of recommendation accuracy.

목차

Abstract
 I. Introduction
 II. Related work
  2.1 Several issues in Recommender System
  2.2 Serendipitous Recommender System
 III. Research methodology
  3.1 Evaluating the Quality of Recommendation System by Using Serendipity Measure
  3.2 Collaborative filtering algorithms
 IV. Experimental Results
 V. Conclusion
 References

저자

• Dorjmaa Tserendulam [ Ph. D. Candidate, Department of Management Information Systems, Yonsei University, Wonju, South Korea ]
• Taeksoo Shin [ Division of Business Administration, College of Government and Business, Yonsei University ]

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