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Rating prediction and recommendation method for recommendation system based on spatial proximity

A recommendation system and score prediction technology, applied in the field of information processing, can solve problems such as low accuracy and system vulnerability, and achieve the effect of improving accuracy and increasing diversity

Active Publication Date: 2019-05-24
UNIV OF SHANGHAI FOR SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of low accuracy of traditional recommendation algorithms and vulnerable systems, the present invention proposes a scoring prediction and recommendation method based on spatial proximity recommendation system, and comprehensively examines the links between commodities, movies and other items in the recommendation system , with the help of the topological layout of the item network in space, more accurate score calculation and recommendation services can be realized

Method used

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  • Rating prediction and recommendation method for recommendation system based on spatial proximity
  • Rating prediction and recommendation method for recommendation system based on spatial proximity
  • Rating prediction and recommendation method for recommendation system based on spatial proximity

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Embodiment Construction

[0038] Suppose U i (represented by the subscript i in the formula) is a user of the movie recommendation system, who has rated several movies in the website database, and the scores are distributed between 1-5.

[0039] Such as figure 1 The flow chart of the score prediction and recommendation method of the recommendation system based on spatial proximity is shown, and the specific steps are as follows:

[0040] S1: Establish the user scoring library in the current recommendation system:

[0041] Traverse the current users, obtain the rating records of each user for all movies, and list some of the user rating data, as shown in Table 1.

[0042] Table 1

[0043]

[0044] S2: Normalize the user rating data with the following formula:

[0045]

[0046] where r iα is the rating of movie α by user Ui, r i max and r i min Represents the highest score and the lowest score in the rating record of user Ui. If the highest score and the lowest score are equal, the normali...

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Abstract

The invention relates to a recommendation-system score forecast and recommendation algorithm based on the space proximity. The similarity degree between objects in a recommendation system serves as the basis characteristic of the spatial layout of the recommendation system, the space proximity serve as an object selection basis, and by means of topology distribution of an object network in space, more accurate score calculating and recommendation services are achieved by comprehensively investigating the relation between the objects such as cargoes and films in the recommendation system. The diversity of the objects recommended by the recommendation system is improved, and recommendation accuracy is improved.

Description

technical field [0001] The invention relates to an information processing technology, in particular to a prediction and recommendation method based on a score of a spatial proximity recommendation system. Background technique [0002] As a hot issue, personalized service has been concerned and studied by many research fields. An important research content of personalized service is personalized recommendation, which can find a collection of items with similar interests according to the user's interests, and then recommend items that the user is interested in based on the similarity between items. Use personalized recommendation technology to recommend suitable movies, products, etc. to users, so that users can quickly get information about items that meet their preferences and preferences. For the recommendation system, it can not only gain the trust of users, but also gain more The favor and use of the system also makes the system recommendation save the system resources c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06F16/9535G06Q30/0601
Inventor 艾均苏湛
Owner UNIV OF SHANGHAI FOR SCI & TECH