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A Hybrid Recommender System Based on User-Recommender Interaction
Joint Authors
He, Xu
Zhang, Heng-Ru
Xu, Yuan-Yuan
Min, Fan
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-23
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Recommender systems are used to make recommendations about products, information, or services for users.
Most existing recommender systems implicitly assume one particular type of user behavior.
However, they seldom consider user-recommender interactive scenarios in real-world environments.
In this paper, we propose a hybrid recommender system based on user-recommender interaction and evaluate its performance with recall and diversity metrics.
First, we define the user-recommender interaction.
The recommender system accepts user request, recommends N items to the user, and records user choice.
If some of these items favor the user, she will select one to browse and continue to use recommender system, until none of the recommended items favors her.
Second, we propose a hybrid recommender system combining random and k-nearest neighbor algorithms.
Third, we redefine the recall and diversity metrics based on the new scenario to evaluate the recommender system.
Experiments results on the well-known MovieLens dataset show that the hybrid algorithm is more effective than nonhybrid ones.
American Psychological Association (APA)
Zhang, Heng-Ru& Min, Fan& He, Xu& Xu, Yuan-Yuan. 2015. A Hybrid Recommender System Based on User-Recommender Interaction. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1072997
Modern Language Association (MLA)
Zhang, Heng-Ru…[et al.]. A Hybrid Recommender System Based on User-Recommender Interaction. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1072997
American Medical Association (AMA)
Zhang, Heng-Ru& Min, Fan& He, Xu& Xu, Yuan-Yuan. A Hybrid Recommender System Based on User-Recommender Interaction. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1072997
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072997