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Collaborative filtering recommended method based on provincial characteristics

A collaborative filtering recommendation and regional feature technology, applied in special data processing applications, instruments, calculations, etc., to achieve the effect of improving quality

Inactive Publication Date: 2012-09-12
FOCUS TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a collaborative filtering recommendation method based on regional features that solves the problem of recommending to users in the current e-commerce B2B website the products that belong to the same region and that other users who choose the same product also pay attention to or purchase.

Method used

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  • Collaborative filtering recommended method based on provincial characteristics
  • Collaborative filtering recommended method based on provincial characteristics
  • Collaborative filtering recommended method based on provincial characteristics

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Embodiment Construction

[0019] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, some terms involved in the embodiments of the present invention will be briefly explained below.

[0020] Logged in user: a registered buyer who logs in with a registered account on the website.

[0021] Non-login users: Buyers who have not logged in their accounts.

[0022] Active registered buyers: Registered buyers who frequently log in to use the e-commerce website in the past month.

[0023] Supplier category: including certified suppliers, gold suppliers and free suppliers, the main function is to assist buyers in judging the credibility of sellers.

[0024] Co-occurrence times: the number of product occurrences in the user access sequence in the past month.

[0025] Session: A visitor who interacts with the website within 30 minutes is considered to enter the website at the same time, and no new user sessions are recorded; when the visitor has n...

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Abstract

The invention discloses a collaborative filtering recommended method based on provincial characteristics. The method includes the steps of acquiring user information, fundamentally analyzing the acquired information, filtering the acquired information according to districts of purchasers, recommending a process of a filtering result, displaying a recommending result to users in an appropriate page scene by a foreground, and the like. According to the collaborative filtering recommended method based on the provincial characteristics, present e-commerce business to business (B2B) websites can recommend products which belong to a same district to a user, and simultaneously the products are also concerned or purchased by other users.

Description

technical field [0001] The invention relates to the field of e-commerce B2B transactions, in particular to a collaborative filtering recommendation method based on regional characteristics. Background technique [0002] With the continuous expansion of the scale of e-commerce websites, online products are becoming more and more abundant. It is difficult for people to find the products and information they need in the massive information resources, and they often fall into the dilemma of information overload. To solve this problem, effectively guide users Shopping in e-commerce website, e-commerce recommender system emerges as the times require. An e-commerce recommendation system can recommend product information that may be of interest to target users based on existing user information. At present, collaborative filtering uses the characteristics that similar users may also have similar purchase behaviors to make recommendations, and has become the most widely used and suc...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F17/30
Inventor 李莉魏宝军贾纺纺许应楠
Owner FOCUS TECH
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