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- W4312767524 abstract "With the development of social informatization, various resource information has increased exponentially, forming a large amount of data. How to use the existing user related information on the network to quickly help users find the information they need is an important problem that major e-commerce platforms need to face. The e-commerce platform can preliminarily understand the user's query intention according to the user's query log. Classify according to the query intention, so as to improve the efficiency and accuracy of user query. This paper proposes a classification method of log query intention based on support vector machine (SVM). This method clusters, vectorizes and classifies the query topics hidden in the log by constructing a topic oriented framework. The experimental results show that the classification effect is remarkable." @default.
- W4312767524 created "2023-01-05" @default.
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- W4312767524 date "2022-01-01" @default.
- W4312767524 modified "2023-09-26" @default.
- W4312767524 title "A Query Intention Classification Method of e-commerce Platform Based on Support Vector Machine" @default.
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- W4312767524 doi "https://doi.org/10.1007/978-981-19-6901-0_112" @default.
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