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Tthe Research on Modeling User Interest Based Keywords Dependency Profile

Author: WangZuoGuang
Tutor: ZhangDongZuo
School: Shanghai Jiaotong University
Course: Applied Computer Technology
Keywords: user interest keywords dependency profile word co-occurrence
CLC: O242.1
Type: Master's thesis
Year: 2009
Downloads: 45
Quote: 2
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Abstract


With the rapid development of Internet, it becomes more and more important in people’s daily life. Various kinds of Web Services and Web Applications heavily enrich the ways how people obtain information and communicate with each other, so more information is exposed to Internet users. However, concentrating on users—the endpoint of every Web Service and Web Application, the huge amount of information decreases the effectiveness of user processing data. Instead of attracting users by more Web contents, it will distract users’real intentions, overlook users’potential requirements. Based on such a circumstance, user interest modeling, which may reflects the original users’purpose, becomes an important research field for many Web Services, such as Web Personalization.In this thesis we first give a brief introduction to user interest modeling and the related legacy work. We focus on the Vector Space Model method, which is used in the system mentioned here. While presenting the defects of this method, we introduce a Keywords Dependency Profile to improve it. The vector space model is expanded to a graph structure model. The vertex is defined as a keyword in the original vector space, while the edge is defined as a relation between two keywords. The weights are calculated using a set of formulas. The new user interest model is represented using a set of the vertex and the edges with the highest weights. Based on Keywords Dependency Profile, we would like to rectify the defects of the original method. We implement a system which models user interest based on keywords dependency. Our experiments with ten users’data verify the effectiveness of the method we proposed.

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CLC: > Mathematical sciences and chemical > Mathematics > Computational Mathematics > Mathematical modeling, approximate calculation > Mathematical modeling
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