Preference-based intelligent retrieval method and system

An intelligent, preference vector technology, applied in the fields of instruments, calculations, electrical digital data processing, etc., can solve problems such as limited available content, inability to reflect the differences between users, difficult to achieve ideal retrieval efficiency, accuracy and user satisfaction, etc., to achieve The effect of good search effect

Active Publication Date: 2014-02-19
CHINA SOUTH POWER GRID ELECTRIC POWER RES INST +1
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Problems solved by technology

However, the above method is mainly based on the descriptive information (combination of keywords, time, search scope, etc.) The information cannot reflect the differences among users. Even if the existing technology is used for optimiza

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  • Preference-based intelligent retrieval method and system
  • Preference-based intelligent retrieval method and system
  • Preference-based intelligent retrieval method and system

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[0054] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are preferred embodiments for implementing the present invention, and the description is for the purpose of illustrating the general principles of the present invention, and is not intended to limit the scope of the present invention. The scope of protection of the present invention should be defined by the claims. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall be protected by the present invention. Range.

[0055] The prior art mainly optimizes the retrieved data, and the most ideal situation is to precisely classify and expand the retrieved data, and then match it with the description information in the query request submitted by the user once. ...

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Abstract

The invention relates to the field of data retrieval, and discloses a preference-based intelligent retrieval method and system. The method includes the steps that a subject preference model of a user is established on the basis of subject classification of data, user characteristics and operation logs; query expansion is performed through the subject preference model of the user and retrieval input of the user to obtain a primary retrieval result; subject preference scoring is performed on the data through the subject preference model of the user and distribution conditions of the data on all subjects, and personalized retrieval ranking is preformed on the primary retrieval result on the basis of subject preference; secondary feedback retrieval is performed on the ranked primary retrieval result through a comprehensive model of relevance feedback and pseudo relevance feedback to obtain a final retrieval result. According to the method and system, subject distribution of data resources is determined through the subject indexing technology, retrieval vectors better representing user requirements are established through the query expansion based on subjects, relevance feedback and other technologies, and the retrieval result meeting potential requirements of the user better is provided for the user.

Description

technical field [0001] The invention relates to the field of data retrieval, in particular to a preference-based intelligent retrieval method and system. Background technique [0002] With the continuous improvement of social informatization and the rapid development of IT equipment, the storage capacity of information is increasing exponentially; at the same time, people's requirements for information acquisition are getting higher and higher. How to use retrieval technology to quickly find the useful information you need Information is getting harder and harder. Traditional search engines search based on keywords, but even if multiple keywords are used for combined search, the number of results obtained is still innumerable in the face of massive network information, and it is necessary to find the most needed information from these results It is also a tough job for the user. Therefore, the most critical problem of current data retrieval is how to find the information t...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 李鹏周育忠王庆红龚婷陈传夫王平冉从敬吴江
Owner CHINA SOUTH POWER GRID ELECTRIC POWER RES INST
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