【作者】 唐一之；

【导师】 张仲义；

【作者基本信息】 北京交通大学 ， 系统工程， 2009， 博士

【摘要】 现有电子商务推荐系统不能满足网络条件下大规模网络营销服务的需求,语义本体论和电子商务推荐技术的结合,可以满足网格条件下商品知识、用户需求知识和推荐知识的有效获取、聚合和智能推荐协同工作的要求。通过对基于网络消费行为知识的电子商务智能服务的理论与方法进行研究,可以为大规模、高质量和强实时性要求的分布式电子商务智能服务系统的研发提供理论方法基础。本文将知识管理与本体论引入网络消费行为研究,提出基于知识本体的网络消费行为(Knowledge Ontology Based Online Consuming Behavior,KOB-OCB)构架模型,将基于网络消费行为知识的电子商务智能服务理论与方法研究分为四级结构:基于WEB的网络消费行为知识挖掘、网络消费行为知识本体表示、网络消费知识本体映射以及基于个性化需求的网络消费服务的智能化推荐,分别研究了基于WEB的网络消费行为知识挖掘算法、网络消费行为知识本体构建的理论与方法、网络消费知识本体映射方法、基于个性化需求的网络消费服务的智能化推荐系统等内容。本文主要研究内容如下:相关理论分析与评述。主要阐述了网络消费的基本理论、网络消费与传统消费的对比,对网络消费行为影响因素进行分析,探讨了基于电子商务的网络消费方式。网络消费知识挖掘原理与方法研究。分析了网络消费知识挖掘的基本概念;结合基于WEB的用户发现理论,设计了基于网络消费知识库的挖掘算法。网络消费行为知识表示研究。研究了网络消费行为知识的表示方法,探讨了网络消费本体模型、网络消费本体构建、基于网络消费领域本体的知识表示、基于WEB的电子商务本体自动构建方法等内容,分析了电子商务本体主干构建、基于WEB页面电子商务概念抽取等理论问题,构建了网络消费行为知识本体模型和实例。网络消费行为知识本体映射研究。研究了网络消费行为知识本体映射方法、网络消费行为知识本体映射过程、网络消费行为知识本体映射规则,为网络消费行为知识本体的应用奠定了基础。网络消费行为知识服务研究。研究了基于本体的网络消费需求与个性化服务、基于知识的网络消费个性化服务原理、基于知识的网络消费个性化服务(Knowledge Ontology Based Online Consuming Recommender System,KOB-OCRS)的知识表示方法、基于知识的网络消费个性化服务的知识获取方法、基于知识的网络消费个性化服务系统推理机制与推荐结果的产生等内容,剖析了基于知识的网络消费个性化服务策略的自适应选择问题。更多还原

【Abstract】 Current recommender systems cannot meet the demand of large-scale online marketing in the distributed environment. The semantic ontology technologies and electronic recommendation technologies together can be exploited to realize the effective acquisition and fusion of the knowledge of products, user requirements and recommendation function, and can further realize the synergized collaboration of constituents of the recommender systems. This dissertation researches on the basic theory and methodology of intelligent electronic commerce recommendation based on the online consuming behavior knowledge which we hope to provide the fundamental support in theory and methodology for developing highly responsive and effective recommender systems for large-scale electronic commerce in distributed environments.This paper introduce knowledge management and ontology into the studying of online consuming behavior, and constructed a now framework - Knowledge Ontology based Online Consuming Behavior (KOB-OCB). The research on the theory and methodology based on the online consuming behavior knowledge is subdivided into four levels which are correlated with each other closely. The first is the online consuming behavior knowledge mining based on WEB. The second is the representation of knowledge for online consuming behavior knowledge. The third is the theory and method of construction for online consuming behavior. And the last is the intellectual recommender of online consuming service based on self-demand. This dissertation studied the mining arithmetic of the online consuming behavior knowledge, designed theory and methodology of ontology construction of the online consuming behavior knowledge, researched intellectual recommender systems based on self-demand of online consuming service based.The main content of the dissertation as follows:The relative theories were introduced which include the basic theory of the online consuming, constructed the different between online consuming and traditional consuming, analysised the affected factors of online consuming behavior, discussed the patterns of online consuming based on electronic commerce.We studied the theory and methodology of online consuming behavior knowledge mining in this dissertation, discussed the basic concept of online consuming knowledge, and studied the mining arithmetic based on online consuming knowledge pool.We studied the representation of online consuming behavior knowledge, researched the representation method of online consuming behavior knowledge, discussed the ontology model of online consuming, the ontology construction of online consuming, the knowledge representation based on domain ontology of online consuming, analysised the main construction of electronic commerce, concept taken out of electronic commerce was discussed, at last, this dissertation constructed a ontology model of online consuming behavior knowledge.We studied the ontology mapping of online consuming behavior knowledge, researched the methods of ontology mapping of online consuming behavior knowledge, the process of ontology mapping of online consuming behavior knowledge, the regulation of ontology mapping of online consuming behavior knowledge, and provided the base for the application of ontology of online consuming behavior knowledge.We also studied the knowledge service, online consuming demand and self-service based on ontology, self-service theory of online consuming, knowledge acquisition and representation of online consuming, reasoning mechanism and recommend results of self-service were discussed. At last, self-adapted choosing of self-service tactics of online consuming was taken part.更多还原