< A,V >-Spear: A New Method for Expert Based Recommendation Systems

Title
< A,V >-Spear: A New Method for Expert Based Recommendation Systems
Author(s)
정재은Xuan Hau Pham[Xuan Hau Pham]누옌트룽트리Ngoc Thanh Nguyen[Ngoc Thanh Nguyen]
Keywords
GRAPH ANALYSIS; ONTOLOGY; MODEL; WEB
Issue Date
201402
Publisher
TAYLOR & FRANCIS INC
Citation
CYBERNETICS AND SYSTEMS, v.45, no.2, pp.165 - 179
Abstract
Recommendation systems are based on a fast and effective personalized mechanism to provide items relevant to users. In this article, an expert-based approach for recommendation is proposed. We extend the spamming-resistant expertise analysis and ranking (SPEAR) algorithm to determine a set of experts from a set of attributes and values, calling the modification the <A,V > -SPEAR algorithm. This system can recommend a set of items to users using expert opinions. In this approach, we use ontology to build profiles of users. The experimental results are implemented in the movie domain as a case study. Our data set was collected from IMDB and MovieLens data sets.
URI
http://hdl.handle.net/YU.REPOSITORY/33302http://dx.doi.org/10.1080/01969722.2014.874822
ISSN
0196-9722
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
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