Method and System of Information Matching in Electronic Commerce Website
First Claim
1. An information matching method, comprising:
- collecting characteristic data of a plurality of categories of network behavior of a plurality of network users;
grouping the network users into a plurality of clusters based on the characteristic data;
setting weight of the characteristic data;
receiving a search request from a specific network user of the plurality of network users;
obtaining search results according to the search request;
inquiring a historical record of clicking operation on at least some of the search results made by at least some of the network users in one of the clusters which contains the specific network user;
calculating a respective rank value of the at least some of the search results based on the historical record of clicking operation of the at least some of the network users and the weight of the characteristic data;
sorting the at least some of the search results to arrange the at least some of the search results according to the respective rank values in a descending order from high rank to low rank; and
causing the sorted search results to be displayed.
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Abstract
The present disclosure describes an information matching method and information system. The method collects characteristic data of category plurality of categories of network behavior of a plurality of network users; groups the network users into a plurality of clusters based on the characteristic data; sets weight of the characteristic data; receives a search request from one of the plurality of network users; obtains search results according to the search request; inquires a historical record of clicking operation on at least some of the search results made by at least some of the network users in one of the clusters which contains the one of the plurality of network users; calculates a respective rank value of each of the at least some of the search results based on the historical record of clicking operation of at least some of the network users and the weight of the characteristic data; sorts of the search results to arrange the search results according to the rank values of the search results in a descending order from high rank to low rank; and causes the sorted search results to be displayed.
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Citations
12 Claims
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1. An information matching method, comprising:
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collecting characteristic data of a plurality of categories of network behavior of a plurality of network users; grouping the network users into a plurality of clusters based on the characteristic data; setting weight of the characteristic data; receiving a search request from a specific network user of the plurality of network users; obtaining search results according to the search request; inquiring a historical record of clicking operation on at least some of the search results made by at least some of the network users in one of the clusters which contains the specific network user; calculating a respective rank value of the at least some of the search results based on the historical record of clicking operation of the at least some of the network users and the weight of the characteristic data; sorting the at least some of the search results to arrange the at least some of the search results according to the respective rank values in a descending order from high rank to low rank; and causing the sorted search results to be displayed. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. An information matching system for electronic commerce website, comprising:
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an information acquisition system that collects characteristic data of a plurality of categories of network behavior of a plurality of network users, carries out clustering of the network users according to the characteristic data and against the plurality of categories of network behavior, and sets weight of the characteristics data for carrying out clustering; a retrieval system that receives a search request of a specific network user of the plurality of network users, obtains search results, and inquires a historical record of clicking operation on at least some of the search results made by other network users in a cluster containing the specific network user, calculates a respective rank value of each of the at least some of the search results based on the historical record of clicking operation and the weight of the characteristic data for carrying out the clustering, and sorts the search results of according to the calculated rank values to arrange the search results in a descending order from high rank to low rank; a results page generating system that displays the sorted search results. - View Dependent Claims (10, 11, 12)
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Specification