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Building commodity recommendation method and device based on boundary interest heuristic and apparatus

A product recommendation and interest technology, which is applied in the field of building product recommendation based on boundary interest exploration, which can solve the problem of slow boundary interest exploration.

Active Publication Date: 2021-07-06
中建电子商务有限责任公司
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to mine "sunken" commodities, and cooperate with a set of fast correction and gain processing mechanism according to the behavior characteristics of users in the process of searching for various commodities, so that the speed of exploring the user's boundary interests is too slow, and " The problem of being covered by "sinking" commodities has been solved to a certain extent

Method used

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  • Building commodity recommendation method and device based on boundary interest heuristic and apparatus
  • Building commodity recommendation method and device based on boundary interest heuristic and apparatus
  • Building commodity recommendation method and device based on boundary interest heuristic and apparatus

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Embodiment Construction

[0083] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0084] refer to figure 1 as shown, figure 1 It is a schematic flowchart of a method for recommending building products based on boundary interest heuristics provided by an embodiment of the present invention.

[0085] The applicant's research found that the current recommendation system can recommend content (such as commodities, graphics or videos, etc.) However, the...

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Abstract

The invention provides a building commodity recommendation method and device based on boundary interest heuristic and an apparatus. The method comprises the steps of obtaining a frequent word chain set FG based on the user historical behavior feature data, and obtaining a scattered word chain set NFG based on a certain user through the elimination of the frequent word chain set FG; counting the unaccessed commodities and acquiring the keywords, and if the keywords neither belong to the frequent word chain set FG nor belong to the scattered word chain set NFG, adding the keywords into an uncovered interest word set NVG; uniformly expanding the scattered word chain set NFG; according to the frequent word chain set FG and the scattered word chain set NFG, determining a to-be-inserted interest word sequence, and carrying out tentative commodity insertion on a pre-displayed commodity list LT obtained by searching the keywords by a user in combination with large-class classification of building supplies. According to the present invention, the possible interest space of the user can be explored, the interest boundary of the user is continuously expanded, and the effectiveness of the recommendation system at the aspect of user interest probing is improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method, device and equipment for recommending building products based on boundary interest heuristics. Background technique [0002] The current recommendation system can mine the historical behavior information generated by the user in the APP or PC WEB, and recommend content (such as commodities, graphics or videos, etc.) that matches the user's historical behavior. Since the recommendation system often recommends information based on similarity-related principles or specific relevance algorithms, it is difficult to break through the discovery of users’ interests in unknown categories, and it is easy to cause interest fatigue to users, and the platform will also face problems such as a decline in effective clicks. This will eventually affect the sales of platforms whose main service is commodity sales. In the end, many users will choose to leave after using r...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q50/08G06F16/9535G06F16/35G06F16/335G06F16/33G06F40/284G06F40/216
CPCG06Q30/0631G06Q50/08G06F16/3338G06F16/335G06F16/35G06F16/9535G06F40/216G06F40/284
Inventor 不公告发明人
Owner 中建电子商务有限责任公司
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