基于用户情境本体构建的商品信息服务研究

发布时间：2018-05-08 20:36

本文选题：用户描述 + 本体构建　；参考：《华南理工大学》2016年硕士论文

【摘要】：随着移动互联网和电子商务业务的兴起,网络信息资源的种类和数量也开始呈指数增长。面对海量的网络数据和信息资源,如何发现这些数据之间存在的关联,发现用户的真实需求,以及在这些数据中甄别出对用户有效的数据,是当前个性化信息推荐的关键。此外,用户在移动互联网下对信息的需求具有高度的情境敏感性,因此,如何将信息资源精准地推荐给处于不同情境下的用户已经成为个性化信息服务的研究新趋势。以用户为中心的个性化信息服务首先需要将用户以及用户的信息需求描述清楚,传统的个性化信息服务中主要把用户需求信息大体分为感兴趣和不感兴趣的,没有考虑用户行为中各个不同要素之间的内在联系对信息需求的影响。本体作为一种能在语义和知识层次上描述用户行为概念的结构化语言,它能够明确地描述领域涉及的概念、概念的含义、概念之间的关系,清楚地将用户以及用户的信息需求准确表达。本文将移动网络环境下变化的用户情境作为一个影响用户信息需求的变量纳入到用户的个性化信息服务。在探讨用户情境对商品信息需求的影响基础上,结合本体的优势来构建用户情境本体模型。模型能将用户情境中各个要素之间、用户情境与商品信息之间以及用户与用户之间的关系清楚的表达出来,为个性化信息服务提供前提基础。文章在构建用户情境本体的基础上提出一种基于用户情境本体相似的个性化商品信息服务模型。从信息服务角度出发,方法实现了对商品信息系统中商品资源数据的标准化,并利用本体构建规范商品信息的应用;从用户信息需求角度出发,该模型融入了用户的情境,将用户情境本体化,更恰当地表达了用户对商品信息的需求,从而能够为用户提供更具个性化的信息服务。在为用户提供个性化的商品信息服务方面,文章提出了情境本体相似度推荐算法,通过计算当前用户综合情境本体与用户情境本体库中的源用户情境本体之间的相似度,得出与目标用户情境本体相似的源用户,将源用户所消费过的商品信息推荐给目标用户,最终达到实现用户个性化信息服务的目的。最后本文以餐饮类的商品消费数据为例,采用Protégé进行用户情境本体的实例构建,并使用基于用户情境本体相似的方法实现用户的个性化商品信息服务。
[Abstract]:With the rise of mobile internet and e-commerce, the types and quantity of network information resources are increasing exponentially. In the face of massive network data and information resources, how to discover the relationship between these data, discover the real needs of users, and identify the effective data from these data is the key to the current personalized information recommendation. In addition, users' needs for information under the mobile Internet have a high situational sensitivity. Therefore, how to accurately recommend information resources to users in different situations has become a new research trend of personalized information services. The user-centered personalized information service needs to describe the user and their information requirements clearly. The traditional personalized information service mainly divides the information of user requirements into interested and uninterested. The influence of different elements of user behavior on information demand is not considered. As a structured language, ontology can describe the concept of user behavior at the semantic and knowledge levels. It can clearly describe the concepts involved in the domain, the meaning of concepts, and the relationship between concepts. Clearly express users and their information needs. In this paper, the changing user situation in mobile network environment is incorporated into the personalized information service of the user as a variable that affects the information demand of the user. Based on the discussion of the influence of user situation on commodity information demand, the user context ontology model is constructed by combining the advantages of ontology. The model can clearly express the relationship between the elements in the user situation, between the user situation and the commodity information, and between the user and the user, which provides the premise for the personalized information service. This paper presents a personalized commodity information service model based on the similarity of user context ontology. From the point of view of information service, the method realizes the standardization of commodity resource data in commodity information system, and uses ontology to construct the application of standardizing commodity information, and from the point of view of user's information demand, the model is integrated into the user's situation. The ontology of user context can express the user's demand for commodity information more appropriately, so that it can provide users with more personalized information service. In the aspect of providing personalized commodity information service for users, this paper proposes a similarity recommendation algorithm of situational ontology. By calculating the similarity between the current user's comprehensive situational ontology and the source user's situational ontology in the user's situational ontology library, the similarity between the user's comprehensive situational ontology and the source user's situational ontology is calculated. The source user who is similar to the target user context ontology is obtained, and the commodity information consumed by the source user is recommended to the target user. Finally, the user personalized information service is achieved. Finally, taking the consumption data of food and beverage as an example, Prot 茅 g 茅 is used to construct the user context ontology, and the method based on the similarity of user situation ontology is used to realize the personalized commodity information service.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F724.6;F274

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