Preference and multi-data-source fusion-based network search system and control method

Abstract

The invention discloses a preference and multi-data-source fusion-based network search system and a control method. The system comprises a keyword input unit, a first data source unit, a second data source unit, a third data source unit, a first preprocessing unit, a second preprocessing unit, a third preprocessing unit, a pre-integration unit, an integration unit, a user preference model unit, and a terminal adaptation unit. According to the system and the method, search results accordant with user preferences can be obtained, and user experience better than that of other search platforms can be obtained; firstly it is reflected in accuracy of an information result, and satisfactory search results can be obtained without viewing lots of information; moreover, the accuracy of the search results is guaranteed to a certain extent; secondly, the presentation of the search results is accordant with usual usage habits of users, so that the users do not need to frequently perform manual setting; and finally, in combination with a social network, communication among the users can be facilitated and search modes of the users can be enriched.

Description

technical field [0001] The invention belongs to the field of data processing, and in particular relates to a network search system and control method based on preference-based fusion of multiple data sources. Background technique [0002] With the rapid development of computer and Internet technology, the convenience for people to obtain information has been greatly improved. Especially with the popularity of the Internet and mobile terminals, the search for massive data in the network has become an important research topic. In order to make it easier for users to find the information they want, various web search systems have emerged as the times require. By inputting keywords into the network system, users can find webpage content containing keywords. [0003] However, due to the increasingly large amount of Internet data, a large number of search results satisfying the conditions can be obtained by searching through a network search system, and the search results are of...

AI Technical Summary

Problems solved by technology

[0009] 1. The data source is single, there is only one more matching user sequence than ordinary search, and there is no improvement in search results

[0010] 2. The calculation method of vocabulary similarity is relatively fuzzy and has certain limitations; among them, the definition of address similarity is not completely accurate, and there is a possibility that when users search in different places, the definition method is not accurate

[0011] 3. This

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