Method for online parallel computing of recommended information, device for online parallel computing of recommended information, and server for online parallel computing of recommended information

A technology for recommending information and parallel computing, applied in the Internet field, can solve problems such as poor real-time data, rough screening methods, and inaccurate recommendation information, and achieve the effect of improving calculation speed and accurate recommendation information

Active Publication Date: 2014-10-08
SHENZHEN TENCENT COMP SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Since the user's relevant data is the data obtained by the terminal after accumulating for a period of time offline, the real-time performance of the obtained data is poor, so that the user's attention type determined by the server based on the user's relevant data cannot truly reflect the user As a result, the method of screening the information in the information list that can be voted according to the type of attention of the user is relatively rough, and the fineness is not enough, so the determined recommended information is not accurate enough.

Method used

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  • Method for online parallel computing of recommended information, device for online parallel computing of recommended information, and server for online parallel computing of recommended information
  • Method for online parallel computing of recommended information, device for online parallel computing of recommended information, and server for online parallel computing of recommended information
  • Method for online parallel computing of recommended information, device for online parallel computing of recommended information, and server for online parallel computing of recommended information

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Embodiment 1

[0037] When the existing related technologies determine the recommendation information, the relevant data of the user used is the data obtained by the terminal after a period of time when the terminal is offline. Therefore, the real-time performance of the obtained data is poor, so that the The user's attention type determined by the user's relevant data cannot truly reflect the user's attention situation, resulting in a rough way to filter the information in the information list according to the user's attention type, and the fineness is not enough, so that the determined recommendation information is not accurate enough .

[0038] In order to prevent the above situation, an embodiment of the present invention provides a method for online parallel calculation of recommendation information, which can be applied to servers, see figure 1 , taking the server as the execution subject as an example, the method flow provided by this embodiment includes:

[0039] 101: Obtain the app...

Embodiment 2

[0057] An embodiment of the present invention provides a method for online parallel computing of recommendation information. Combining the content of the first embodiment above, this embodiment takes the execution subject as a server as an example to illustrate the method provided by this embodiment. see figure 2 , the method flow provided by this embodiment includes:

[0058] 201: Obtain the application identifier and at least one information bit identifier of the current application used by the first user, and acquire an information list corresponding to each information bit identifier;

[0059] This embodiment does not specifically limit the method of obtaining the application identifier of the first user under the current application and at least one information bit identifier, including but not limited to: the server receives the information sent by the terminal and obtained by the terminal. An application identifier under the used application and at least one informati...

Embodiment 3

[0103] An embodiment of the present invention provides a device for online parallel calculation of recommendation information, and the device is used to implement the method provided in the first or second embodiment above. see Figure 6 , the device consists of:

[0104] The first acquiring module 601 is configured to acquire the application identifier and at least one information bit identifier of the current application used by the first user;

[0105] The second acquiring module 602 is configured to acquire an information list corresponding to each information bit identifier, and the information list includes at least one piece of information to be recommended;

[0106] The third obtaining module 603 is used to obtain the real-time data corresponding to the application identification online in real time, and pull the historical data corresponding to the application identification;

[0107] Calculation module 604, configured to calculate in parallel at least one predictio...

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Abstract

The invention belongs to the technical field of Internet, and discloses a method for online parallel computing of recommended information, a device for online parallel computing of the recommended information, and a server for online parallel computing of the recommended information. The method for online parallel computing of the recommended information comprises the following steps: obtaining an application ID and information bit IDs of a first user in a current application, and obtaining an information list corresponding to each information bit ID; obtaining real-time data corresponding to the application ID in a real-time and online manner, pulling historical data corresponding to the application ID, and carrying out parallel computing of estimated weights of information to be recommended in each information list according to the real-time data and the historical data; screening the information to be recommended in each information list according to each estimated weight of each piece of information to be recommended; determining the information to be recommended that has been screened from each information list to be the recommended information of an information bit identified by the information bit ID corresponding to each information list. The invention has the advantages that the real-time data which is obtained in a real-time and online manner and the pulled historical data are used for the parallel computing of the estimated weights of the information to be recommended, and the recommended information is determined according to the estimated weights, so that the determined recommended information is more accurate.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method, device and server for online parallel computing of recommendation information. Background technique [0002] With the rapid development and improvement of the Internet, compared with the three traditional media of newspapers, radio and television, network media has gradually become an important strategic part of the media due to its strong real-time and flexibility advantages. Among them, when information is disseminated on the network, in addition to the traditional casting method, the dissemination method is more of a method of determining recommendation information based on collected data, and then recommending the determined recommendation information. Since different determination methods of recommended information will bring different benefits when information is disseminated, therefore, it is necessary to select a more reasonable calculation method of recomm...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/951
Inventor 吴官林
Owner SHENZHEN TENCENT COMP SYST CO LTD
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