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Method and device for information recommendation realized by computer

An information recommendation and computer technology, applied in the field of information processing, can solve the problems of low accuracy, high offline operating costs, and high business information costs, and achieve the effect of improving efficiency, reducing technical requirements and operating costs, and improving convenience.

Active Publication Date: 2018-01-05
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, at present, there is no good entrance for O2O, which makes its online promotion difficult. For users, users have to go to various scattered websites or APPs to search for various services, or users need to memorize business names Search (such as "@" search on WeChat public account); and for merchants, O2O offline operation costs are high, and the cost of updating merchant information is high and the accuracy rate is low

Method used

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  • Method and device for information recommendation realized by computer
  • Method and device for information recommendation realized by computer
  • Method and device for information recommendation realized by computer

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Embodiment Construction

[0013] The basic idea of ​​the present invention is to establish an O2O service platform that can push user demand data to merchants and push merchant information to users with corresponding needs, thereby improving the matching between user needs and merchants.

[0014] A computer-implemented information recommendation method and device according to an exemplary embodiment of the present invention will be described in detail below with reference to the accompanying drawings.

[0015] figure 1 It is an example diagram showing the information transfer and application based on the O2O service platform of the exemplary embodiment of the present invention. Such as figure 1 As shown, the user can transmit his demand to the O2O service platform, and the O2O service platform extracts the demand information of the user, and transmits the value information (for example, the contact information of the user) to the offline merchant.

[0016] figure 2 It is a schematic diagram showing...

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Abstract

A method and apparatus for information recommendation realized by a computer, and a computer device. The method comprises: receiving demand data of a first user (S110); according to the demand data and a pre-trained demand, matching ranking models, so as to acquire a predetermined amount of recommendation object data (S120), with the recommendation object data comprising information about a second user satisfying the demand of the first user; according to the information about the second user, extracting contact information about the second user (S130); and according to the contact information, respectively sending the demand data of the first user to the corresponding second user (S140). The method, apparatus and computer device can improve the degree of matching between user demands and service providing merchants, thereby reducing the technical requirements and operation costs of the systems used by the merchants, improving the convenience for users to find services, and improving the efficiency for merchants to find customers.

Description

technical field [0001] The invention relates to information processing technology, in particular to an information recommendation method and device implemented by a computer. Background technique [0002] When ordinary users need to obtain various services, they cannot easily contact merchants, such as ordering food, flowers, or English training. Users have to go to the merchants searched on the website (or APP), and the merchants searched on the website may be far away from the user. Far, not easy to trade. [0003] At present, the O2O (Online to Offline) marketing model (also known as the offline business model, which refers to online marketing and online purchases driving offline operations and offline consumption) is the most popular. The news of offline stores is pushed to Internet users, for example, WeChat official account launched by Tencent, direct account launched by Baidu, etc. [0004] However, at present, there is no good entrance for O2O, which makes its onli...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02G06F17/30
CPCG06Q30/02G06F16/00
Inventor 陈本东
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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