Dissertation > Excellent graduate degree dissertation topics show

Research on Agent-based Catering Personalized Recommendation Modeling and Simulation

Author: ZhangYiPing
Tutor: JinChun
School: Dalian University of Technology
Course: E-commerce and logistics management
Keywords: Personalized Recommendation Agent Modeling and Simulation Situational Food \u0026 Beverage REPAST
CLC: F719.3
Type: Master's thesis
Year: 2011
Downloads: 178
Quote: 0
Read: Download Dissertation

Abstract

With the growing e-commerce environment \With the rapid development of mobile network technology, precision personality recommended to consider the situation in the emerging mobile e-commerce environment issue has become an urgent need to address a key technical issues. Personalized Recommendation traditional research methods exist sparse data, cold start, the fatal problem of data collection difficulties, the recommended strategy is good or bad need to inspect and assess the impact of situational factors on consumer behavior can not be ignored, mobile business environment, based Agent modeling and simulation methods not only to solve the above problems, but also has the ability to capture system macro \Therefore, we adopt the ABMS methods for personalized recommendations in restaurant recommendation system, for example, by the emergence of individual interaction characteristics analysis of consumer behavior and the effectiveness of the personalized recommendation strategy, the core work of the paper is as follows: ( 1) a combination of the ABMS and e-commerce personalized recommendation, and under the premise of a certain model assumptions, Agent-based catering personalized recommendation model architecture. (2) the recommended theoretical models for catering personalized, customer characteristics and situational connotations of abstract and defined to distinguish between the main factors that affect customer dining behavior, were established customer model and situation model. (3) on the basis of analysis of the Agent constitute its functions of the simulation model, focus on the customer and Service Agent rule base design, analyze customer characteristics and situational factors associated with customer behavior, refined personalized based on customer two rule base of information and consider situational factors, and design of an interactive management agent for managing each Agent between specific information and behavioral interactions. (4) the design of the simulation model based REPAST and implementation, the focus is on behalf of Agent custom class design and implementation, including customer and situation model as a method library as a class attribute, rule base. Finally, the two rules as two sets of running program implementation, which, respectively, to obtain the microeconomic impact of customer characteristics and situational factors personalized recommendations and customer behavior analysis, as well as the emergence of macro final customer behavior analysis. Assessment of the effectiveness of the model under two operating programs that: personalized recommendation model based on customer characteristics and other recommended studies the effectiveness of a considerable range of values, and the validity of the model personalized recommendation consider situational factors, there has been improved significantly.

Related Dissertations

CLC: > Economic > Trade and Economic > Domestic Trade and Economic > Services sector > Food and beverage industry
© 2012 www.DissertationTopic.Net Mobile