Individualized resource retrieval method

A resource and data technology, applied in the field of personalized resource retrieval, can solve problems such as consumer loss, and achieve the effect of improving performance and expanding horizons

Inactive Publication Date: 2015-10-21
ANHUI XINHUA MEDIA
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

This process of browsing a large amount of irrelevant information and products will undoubtedly lead to the loss of consumers who are submerged in the problem of information overload.

Method used

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Embodiment Construction

[0028] The content of the present invention will be described below in conjunction with specific embodiments.

[0029] like figure 1 As shown, it is a schematic structural diagram of a personalized resource retrieval method according to the present invention. A personalized resource retrieval method according to the present invention comprises the following steps:

[0030] 1. Data collection:

[0031] Including data stored in databases and caches that require real-time access, and large-scale non-real-time access data stored in distributed file systems; the data that requires real-time access includes real-time behavior data of users, so The above-mentioned large-scale non-real-time access data includes user characteristic data and product characteristic data.

[0032] Personalized recommendation algorithms rely on user behavior data, and there are various user behavior data in any website. So how to access these data is the primary problem that the recommendation system n...

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Abstract

The invention discloses an individualized resource retrieval method comprising the steps that step A, data collection is performed: the data include user real-time behavior data which are stored in a database and cache and user characteristic data and commodity characteristic data which are stored in distributed file systems; step B, engine calculation is performed: a recommendation engine calculates and acquires initial recommendation results according to the user behavior data collected in real time: step C, filtering processing is performed: filtering processing is performed on the acquired initial recommendation results by applying a collaborative filtering pseudo code algorithm; and step D, ranking explanation is performed: the initial recommendation results after filtering processing are merged and ranked according to certain weight or priority, and then recommendation explanation ranking the top is acquired and a final recommendation result is formed. According to the individualized resource retrieval method, the user behaviors can be accurately predicted, and the visual fields of users can also be expanded and the users are assisted to discover things in which the users are probably interested in while difficult to discover.

Description

technical field [0001] The invention relates to a personalized resource retrieval method, belonging to the technical field of computer applications. Background technique [0002] In the era of e-commerce, merchants provide a large number of products through shopping websites, and customers cannot understand all the products through the screen at a glance, nor can they directly check the quality of the products. Therefore, customers need an electronic shopping assistant that can recommend products that customers may be interested in or satisfied with according to their own hobbies. Personalized recommendation is to recommend information and products that the user is interested in based on the user's interest characteristics and purchase behavior. With the continuous expansion of the scale of e-commerce and the rapid growth of the number and types of commodities, customers need to spend a lot of time to find the commodities they want to buy. This process of browsing a large ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F17/30
Inventor 武伟曹杰吴文胜葛菲
Owner ANHUI XINHUA MEDIA
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