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Research and Application of Group Recommendation System Based on Rank Aggregation

Author: XuMingFeng
Tutor: FengJianLin
School: Sun Yat-sen University
Course: Software Engineering
Keywords: Recommended system Group recommended Arranged fusion Social Choice Medrank algorithm
CLC: TP391.3
Type: Master's thesis
Year: 2011
Downloads: 49
Quote: 0
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Abstract


Recommendation system based on user interest features, ratings behavior, buying behavior, user information, recommended to the user information or items that might be interested, to help the user can quickly find interested in the mass of information. Has recommended movies and restaurant system. Traditional recommendation system for individual users recommended, in recent years, more and more of the recommended system focus on how to recommend to a group of users. The main purpose of the personal recommendation system is recommended projects meet the individual user interests (preferences), and group recommendation system to meet the interests of a particular group (preference) is recommended. Can be seen as the group recommended a day-to-day election process or a more general social selection process, the group recommended the analogy between the results of the elections, reflecting the preferences of the individual and mutual interests coordination, there is no objectively right or wrong . The group recommended system described in this article, I studied and developed the basic framework and key technologies: the fusion rules and the impact of the social relations of the group members. This study is based on the recommended list integration framework, each member is the group generated personal recommended list of each member's personal recommended list fusion group recommended list. This article focuses on the concern arranged personal recommendation technology - Tangent algorithm and experimentally confirmed its effectiveness; the Tangent algorithm to generate a list of individuals recommended for each member of the user group. The paper then analyzes the the common fusion rules, such rules are generally divided into the Base Approach ordinal method, this article is more concerned about the latter, so the introduction of arrangement fusion theory as the group recommended fusion rules the Medrank algorithm is applied to group recommendation system. To resolve the problems of the group to the impact of the social relations of the results by the group members, we propose the Weighted-Medrank algorithm to obtain the weighted group recommended results. The effect of the This paper evaluates Medrank algorithm in group recommended, and the Weighted-Medrank effect. Theory based on the group recommended technology for application to restaurant background, design and achieve GroupR Restaurant Group recommendation system. System to collect user reviews of the restaurant, according to the user's previous rating, using the recommended restaurant of the the Tangent algorithm to the user. Users can set up group in the system, with the system to provide the Medrank Least Misery and Multiplicative Utilitarian three groups recommended program, to make the final choice.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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