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A Service Recommendation Method Based on Nearest Neighbor Search with Multi-objective Attributes

A service recommendation and nearest neighbor technology, applied in the service recommendation field of nearest neighbor search, can solve the problem of poor recommendation effect, and achieve the effect of standard application value and efficient recommendation

Active Publication Date: 2021-10-19
湖南安蓉科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0024] The present invention provides a service recommendation method based on multi-target attribute nearest neighbor search, the purpose of which is to solve the technical problem of poor recommendation effect of traditional service recommendation methods in the background technology

Method used

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  • A Service Recommendation Method Based on Nearest Neighbor Search with Multi-objective Attributes
  • A Service Recommendation Method Based on Nearest Neighbor Search with Multi-objective Attributes
  • A Service Recommendation Method Based on Nearest Neighbor Search with Multi-objective Attributes

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Embodiment Construction

[0055] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0056] Aiming at the existing problems, the present invention provides a service recommendation method based on multi-target attribute nearest neighbor search, such as figure 1 shown, including the following steps:

[0057] Step S1, extracting the characteristics and needs of the target user, and extracting the characteristics of the service provided by the merchant;

[0058] Step S2, carry out the nearest neighbor search of multiple target attributes, and find the appropriate service response; specifically: by calculating the similarity between the characteristics and needs of the target user and the multiple attributes of the services provided by each merchant, search for the nearest neighbor of the target user Merchants, and then generate service rec...

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Abstract

The invention provides a service recommendation method based on multi-object attribute nearest neighbor search. The service recommendation method based on nearest neighbor search of multiple target attributes includes the following steps: step S1, extracting characteristics and needs of target users; step S2, performing nearest neighbor search of multiple target attributes to find a suitable service response. According to the characteristics, preferences and sharing needs of the target users, the present invention matches the sharing characteristics of the services provided by the merchants, finds a suitable service response through the nearest neighbor search of multiple target attributes, recommends and matches the shared services of the merchants to the target users, and realizes sharing Maximize the value of services.

Description

technical field [0001] The invention relates to the technical field of shared service recommendation, in particular to a service recommendation method based on multi-target attribute nearest neighbor search. Background technique [0002] The recommendation algorithm of shared services is a special information filtering technology that recommends shared travel services that target users feel they need. In Internet applications, a typical recommendation system will make a target user profile based on certain characteristics of the target user, so as to estimate the target user's preference for some potential services. Target user characteristics can be obtained from the target user's browsing history (content-based recommendation) or from the target user's social environment (collaborative recommendation). [0003] The traditional recommendation algorithm is an effective mechanism to solve the information overload in Internet shopping. On a business recommendation site, custo...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/9536G06F16/735G06Q30/06
Inventor 胡甲初
Owner 湖南安蓉科技有限公司