Research of Analysis Method of Presenters’ Reputation Record

doi:10.16182/j.issn1004731x.joss.201812017

Abstract

Abstract: In order to satisfy the requirement of service presenters’ credibility from recommendation system, this paper put forward a method based on the analysis of reputation record to find the most credible presenters. The preference similarity between different users is calculated with users’ preference vectors. The relevance of the fields, recommendation response rate and recommendation satisfaction rate are then calculated to filter the presenters. The presenters’ current reputation is calculated by introducing the penalty factor. We filter the presenters’ reputation record with localized changes and tendentious changes and calculate the skewness coefficient and kurtosis coefficient of the reputation records. We get the presenters’ excellent reputation values combined with the expectation and variance to choose the credible presenters. The experimental results show that this method can improve the accuracy of presenters’ reputation calculation and the effectiveness of service recommendation.

Key words: presenter discovery, reputation analysis, recommendation credibility, curve analysis

CLC Number:

TP391

Yu Zhiyong, Wang Na, Niu Kan, Wang Jindong. Research of Analysis Method of Presenters’ Reputation Record[J]. Journal of System Simulation, 2018, 30(12): 4625-4635.

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