Recommending method and equipment for sequencing-oriented collaborative filtering

A collaborative filtering and recommendation method technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve problems such as large computational overhead, no learning involved, and insufficient methods, so as to reduce computational costs, improve accuracy and Convenience, the effect of reducing computational overhead

Inactive Publication Date: 2011-05-11
NEC (CHINA) CO LTD
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AI Technical Summary

Problems solved by technology

[0007] Although neighborhood-based methods are widely used due to their conceptual simplicity and intuitiveness, such methods also have shortcomings
First, the accuracy of neighborhood-based methods is usually not optimal
Second, although neighborhood-based methods can produce predictions, they do not involve much learning and thus can only gain little knowledge about us

Method used

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  • Recommending method and equipment for sequencing-oriented collaborative filtering
  • Recommending method and equipment for sequencing-oriented collaborative filtering
  • Recommending method and equipment for sequencing-oriented collaborative filtering

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Embodiment Construction

[0023] Multiple implementations of the present invention will be described in detail below with reference to the accompanying drawings.

[0024] figure 1 is a flowchart schematically showing a recommendation method for ranking-oriented collaborative filtering according to the present invention.

[0025] Such as figure 1 As shown in , at step 110, the user's preference data for the sorted item pairs is obtained. At step 120, according to the preference data and user and item-related data, a user preference-based pLPA model (described in detail below) is constructed. At step 130, using the pLPA model, predict item ranking based on user preference for recommendation to the user.

[0026] figure 2 is a block diagram schematically showing a ranking-oriented collaborative filtering recommendation system 200 based on pLPA according to an embodiment of the present invention.

[0027] Such as figure 2 As shown in , the system mainly includes a pLPA model generation unit 230 and...

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Abstract

The invention discloses a recommending method and equipment for sequencing-oriented collaborative filtering. The method comprises the steps of: acquiring preference data of a user to sequenced item pairs; establishing a probability potential preference analysis model based on a user preference according to the preference data and data related to the user and items; and predicting item sequencing based on the user preference by utilizing the probability potential preference analysis model so as to make recommend to the user. By means of the recommending method and equipment, the user preference sequencing of other items can be directly predicted by using the predicted user preference to the item pairs, thus, sequencing prediction can be instantly made without the searching in the whole preference database. Therefore, not only can calculation expense be reduced, but also the accuracy and the convenience in making recommends to the user are improved.

Description

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Claims

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Application Information

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Owner NEC (CHINA) CO LTD
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