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Recommending system and method combining SNS and search engine technology

A search engine and recommendation system technology, applied in the recommendation field of Internet data mining, can solve problems such as blind selection of user demand models, one-sided recommendation results, and low credibility, and achieve the effect of solving the cold start problem

Inactive Publication Date: 2013-08-21
SOUTH CHINA NORMAL UNIVERSITY
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problems that the recommendation results generated by the current single recommendation model are too one-sided, the single recommendation result list cannot meet the needs of users, and the existing hybrid recommendation model is too blind to the selection of the model, and at the same time solve the problems that the existing recommendation methods refer to based on The problem of low credibility of Internet-wide data

Method used

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  • Recommending system and method combining SNS and search engine technology
  • Recommending system and method combining SNS and search engine technology
  • Recommending system and method combining SNS and search engine technology

Examples

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example 1

[0053] A kind of recommendation system of the present invention combines SNS and search engine technology, such as figure 1 As shown, it consists of a friend information acquisition module, a recommendation result generation module based on SNS friend intimacy, a search behavior information acquisition module, a recommendation result generation module based on search behavior information, and a result integration module.

[0054] Obtain friend information module, which is used to obtain the interactive information data of the top 150 friends who are closest to the user from the corresponding SNS platform; The api interface used obtains the jason data structure containing various information of the user, and we only need to use the user's friend information list, such as the number and contact time of the target user and friends. On the other hand, we also need to obtain the application records browsed by the user's friends, the application records owned, the application record...

example 2

[0060] A kind of recommendation method combining SNS and search engine technology of the present invention, such as image 3 As shown in the flow chart of the method, the entire implementation steps are as follows:

[0061] 1. First, obtain the interaction information data between the user and the friend from the corresponding SNS platform, mainly including the contact times and contact time between the user and a friend, and also need to obtain the application records that the friend has browsed, the application records owned, and the comments App records and recommended app records information;

[0062] 2. Followed by Figure 4 As shown, through the interaction information data obtained in the previous step, on the one hand, refer to the contact times C between friend i and the target user i , the contact time t between friend i and target user i The total contact time T with all friends and the target user uses the formula Calculate the intimacy L between user i and fr...

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Abstract

The invention discloses a recommending system and method combining an SNS and a search engine technology. The recommending system and method combining the SNS and the search engine technology introduces user search behaviors and SNS friend information so that the user search behaviors and the SNS friend information are used as references to obtain recommending results from an angle of a user himself and an angle of a friend of the user. The recommending system comprises a friend information obtaining module, a recommending result generation module based on the SNS friend intimacy, a search behavior information obtaining module, a recommending result generation module based on the search behavior information and a result integrating module. The recommending method comprises a first step of obtaining friend information, a second step of obtaining the recommending results based on the SNS friend intimacy, a third step of obtaining the search behavior information, a fourth step of obtaining the recommending results based on the search behaviors, and a fifth step of integrating the recommending results. According to the recommending system and method combining the SNS and the search engine technology, the characteristics of sharing and exchanging of the SNS are applied, on the one hand, the transmission efficiency of products in an e-commerce platform is improved, on the other hand, complementary to the technology which is based on the search behaviors is formed, and therefore the accuracy, the reliability and the comprehensiveness of the recommending results are improved.

Description

technical field [0001] The invention belongs to the field of recommendation technology of Internet data mining, and in particular relates to a recommendation system and method combining SNS (full name Social Networking Services, ie social network service) and search engine technology. Background technique [0002] With the rapid development of the Internet age and the rapid development of information, people can no longer easily find the information they need in the massive amount of information. The emergence of information retrieval technology has met certain needs of people, but due to its versatility, it still cannot meet the query requests of users with different backgrounds, different purposes and different periods. In the field of e-commerce, it is more common for users to find products that are not suitable for them. Because there are so many products, each product is described very well by the merchant, and at the same time, through some profit means to make their ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02
Inventor 翟振威陈配云郑贵生陈文慧
Owner SOUTH CHINA NORMAL UNIVERSITY
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