The Research Of Shopping-guide System Based On M-Commerce

In order to guide consumers in masses of merchandise information effectively, multiple methods of guidance are adopted not only by shopping centers, such as emporiums, super markets and book stores, but also by airports, parks and hospitals. All the above are generally defined as shopping-guides. E-commerce provides shopping-guide more convenienc. As a result, consumers may obtain merchandise information by keyword browse or category-based search via internet. However, with the rapid development of Mobility-commerce (M-commerce), it is necessary to develop new methods of shopping-guide fitting for M-commerce nowadays.According to the existing M-commerce shopping-guide researches, this thesis puts forward a shopping-guide system based on M-commerce and its components, combining both mobile communication techniques and information techniques. This thesis mainly discusses the shopping-guide system module, methods of message transfer in shopping-guide system, word sense disambiguation based on Hownet, the computing of semantic similarity based on Hownet, and filtering of spam text messages, which are introduced specifically as followed.Depending on analyzing mobile devices' technology and shopping-guide targets, a shopping-guide system based on M-commerce is put forward. The formation of the system, the functions of the different components and the significance are also provided.The module of message transfer in M-commerce shopping-guide is designed. This module involves researches on mobile devices' technical features, input and output modes and three ways of interactive information services providing by mobile platform. It designs and realizes methods of message transfer and the experiment results satisfy the application requirements.The computing of word sense disambiguation is based on Hownet. The thesis introduces and analyzes Hownet as a resource. The computing changes word-sense files to word-sense number files using knowledge description language of Hownet. It also creatively brings in distance parameter to calculate influences from notional words with different distances on ambiguous words. And the computing is verified by experiments.On summing up the applying scope, merits and defects of various similarity computing methods, a new computing method integrated with strategy of diminishing the ambiguity is proposed, based on the summary of Chinese semantic difficulties. Adopting Hownet as a semantic dictionary, the similarity computing is realized, upon which Q& A. in the shopping-guide system is designed. Both the computing and the Q& A. are verified by experiments. In the aspect of the shopping-guide system safety, filtering of spam text messages is researched because of service refusal initiated by spam massages. Considering the text messages using in Q&A shopping-guide, a method of filtering adopting Bayes Risk Analysis is proposed. This thesis compares Algorithm on Feature Extraction, Algorithm on Feature Weights and Classification Algorithm in the Chinese information classification. And then it testifies the performances of self-building short message corpus. The experiments show that such computing can block spam text messages and satisfies the safety requirements.