Title:	ADVANCED REPRESENTATIVE AND DYNAMIC USER PROFILE BASED ON MCDM FOR MULTI-CRITERIA RS
Author(s):	Pakapon Tangphoklang, Saranya Maneeroj, Atsuhiro Takasu
ISBN:	978-972-8939-09-0
Editors:	Miguel Baptista Nunes, Pedro Isaías and Philip Powell
Year:	2010
Edition:	Single
Keywords:	Knowledge Management, Multi-criteria ratings, Profiling technique, MCDM (Multi Criteria Decision Making), Hybrid recommender system
Type:	Full Paper
First Page:	53
Last Page:	60
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Recommendation systems are widely used to help users acquire interesting information. Most current recommendation systems merely use the overall rating information (Single-Criteria) to recommend items. Some researchers have recently begun to exploit various aspects of an item’s features to more precisely capture the users’ preferences. The technique is called Multi-criteria rating. The multi-criteria ratings are usually used to construct the user profiles. However, current multi-criteria recommendation systems still have difficulty updating a user profile depending on time. This paper proposes a new multi-criteria rating method that can update user profiles in a required amount of time on an individual basis, and obtain more effective user profiles by exploiting both the user’s preference and behavior profiles. Moreover, to increase the accuracy, we apply Multi Criteria Decision Making (MCDM) to the multi-criteria ratings to calculate an item’s prediction value. We conducted experiments under varying conditions using a reliable database, Yahoo Movies. The experimental results show that the proposed method outperforms a set of previous methods.
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