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User preference search method

A user and indexing technology, applied in the computer field, can solve the problem of high space complexity and achieve the effect of efficient retrieval service

Active Publication Date: 2013-05-15
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

One of the biggest disadvantages of table-driven is its high space complexity

Method used

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Embodiment Construction

[0033] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0034] Previous indexing methods are based on an assumption: each dimension is equally important. For CP-net data, this assumption can be weakened. If there is no such assumption, the design of the indexing method needs to consider the correlation between the dimensions involved in the user query.

[0035]If the correlation between dimensions is determined to be unchanged for all user queries, we can use the method of dimensionality reduction to reduce the associated multi-dimensionality to one dimension. First, the multi-dimensional CP-net (user preference model) data is reduced to one-dimensional data using the Hilbert Curve (Hilbert curve) dimensionality reduction method, and then one-dimensional bitmap indexing (bitmap indexing) is built on the one-dimensional data or B+tree indexing (B+tree index). Suppose there are three attributes X1, X2, X3...

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Abstract

The invention discloses a user preference search method. Firstly, whether the correlation among dimensions of data of a registration center is confirmed in a multi-dimensional user preference model is judged. If the correlation is confirmed, data processing from multi-dimension to one-dimension is carried out, otherwise multi-dimensional data processing from multi-dimension to low-dimension is carried out. According to the user preference search method, an effective search method of user preference model data is found out, and k optimized data items are effectively searched out in a database according to user preference expressed by the user preference model, the whole database does not need to be scanned in a searching process, a top-k searching engine capable of meeting various conditions is constructed, and an efficient searching service can be provided.

Description

technical field [0001] The invention belongs to the field of computers and relates to a user preference retrieval method. Background technique [0002] In the increasingly fierce competitive environment, the user preference search engine can effectively transform users into loyal visitors and improve Web service capabilities. A successful recommendation system will bring huge benefits, not only has broad commercial prospects, but also will have a profound impact on the development of many fields of computer science. With the development of knowledge economy, Web service preference will eventually become an effective means to provide users with personalized services, and it will be widely used in people's economic life and play a more important role. Research on preference recommendation technology is of great significance. [0003] The properties of CP-net (User Preference Model) have been extensively studied in academia, but few retrieval methods for CP-net have been prop...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 王红兵王玉文陈鑫吴琴
Owner SOUTHEAST UNIV