Intelligent recommendation system based on user preferences

A recommendation system and user technology, applied in data processing applications, advertising, business, etc., can solve the problems of not considering each user's personal preferences, lack of sorting and filtering of information, spending a lot of time browsing, etc., to save user selection. time, maintaining accuracy, reducing the effect of picking time

Pending Publication Date: 2022-03-04
DALIAN MARITIME UNIVERSITY +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the existing online recommendation systems, the personal preference of each user is generally not considered, but a large number of unordered recommendation results are returned to the user, and the information lacks effective sorting and filtering, causing the user to spend a lot of time browsing. However, it is impossible to quickly locate the information actually needed

Method used

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  • Intelligent recommendation system based on user preferences
  • Intelligent recommendation system based on user preferences
  • Intelligent recommendation system based on user preferences

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0076] Such as figure 1 As shown, the present invention includes: a query grouping module, a query processing module, and a user preference acquisition module;

[0077] Query grouping module, used for user query request grouping;

[0078] A query processing module, configured to process user query requests;

[0079] A user preference acquisition module, configured to acquire user preferences and dynamically adjust user preferences;

[0080] Preferably, the user preference acquisition module includes: initialization of preference information and dynamic adjustment of preference;

[0081] Preference information initialization, that is, when the user uses it for the first time, it needs to be parsed according to the query keywords entered by the user as basic preference information; and background preference information is supplemented according to the user's group characteristics.

[0082] The dynamic adjustment of preference information is to score each item of preference in...

Embodiment 2

[0162] In this embodiment, the user needs to actively input initial preference information when using the system for the first time, and the initial preference information selected when registering an account includes "wifi", which means that the user prefers stores with wifi. "Have wifi" is the type 01 preference, and the corresponding weight coefficient is 1 by default. Given that the browsing time threshold is 3 minutes, and the weight increase threshold is 50%, within a period of time of using the system, the statistical user has ordered a total of 9 stores, and the number of times the browsing time exceeds 3 minutes is 12. In the ordering process, 7 out of the 9 shops purchased have wifi, and 9 of the 12 shops visited for more than 3 minutes have wifi. Set ∝=5, use formula (6) The wifi weight adjustment judgment factor is 77.19% greater than the weight increase threshold of 50%, and the independent variable x[i] in the weight coefficient (formula 5) with wifi preferen...

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Abstract

The invention discloses an intelligent recommendation system based on user preferences. The intelligent recommendation system comprises a query grouping module, a query processing module and a user preference obtaining module. The query grouping module is used for grouping user query requests; the user preference acquisition module is used for initializing preference information and dynamically adjusting the preference information; and the query processing module is used for processing the grouped query requests, sorting and screening the query requests according to the preference scores calculated by the user preference acquisition module, and returning the sorted and screened query results to the user. According to the method, the preference of the user can be dynamically adjusted, the user requirement can be better determined, the selection time of the user is saved, and the preference setting can be dynamically adjusted along with the change of the preference of the user, so that the setting time of the user is shortened, and the recommendation accuracy is kept. According to the method, the queried results can be sorted and screened, so that the query results returned to the user are closer to the preference of the user, and the selection time of the user is shortened.

Description

technical field [0001] The invention relates to the technical field of intelligent recommendation, in particular to an intelligent recommendation system based on user preference. Background technique [0002] At present, with the rise of network technology, high-speed Internet has been widely deployed and applied, and users can use the network to conveniently conduct electronic shopping and data retrieval. However, with the explosive growth of information, users are increasingly relying on effective information retrieval and filtering technologies to cope with information overload, which has led to an upsurge of research on intelligent result recommendation, and is committed to providing users with more intelligent and customized Advice information. [0003] However, in the existing online recommendation systems, the personal preference of each user is generally not considered, but a large number of unordered recommendation results are returned to the user, and the informat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0256G06Q30/0254G06Q30/0259G06Q30/0269G06Q30/0277
Inventor 王习特韩玉雪周虹宇白梅
Owner DALIAN MARITIME UNIVERSITY
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