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Method and device for obtaining recommendation information and computer readable storage medium

A technology for recommending information and computer programs, applied in computing, digital data information retrieval, special data processing applications, etc., and can solve problems such as insufficient comprehensive and accurate recommended information.

Active Publication Date: 2019-09-03
FOSHAN SHUNDE MIDEA ELECTRICAL HEATING APPLIANCES MFG CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The main purpose of the present invention is to propose a method, device, and computer-readable storage medium for obtaining recommendation information, aiming at solving the current data mining of user-targeted terminal operation data, according to the obtained association rules and any user-targeted terminal Operating data, the recommendation information obtained from any user is not comprehensive and accurate enough

Method used

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  • Method and device for obtaining recommendation information and computer readable storage medium
  • Method and device for obtaining recommendation information and computer readable storage medium
  • Method and device for obtaining recommendation information and computer readable storage medium

Examples

Experimental program
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Embodiment 1

[0057] An embodiment of the present invention provides a method for obtaining recommendation information, such as figure 2 As shown, the method includes:

[0058] S201: Obtain the historical operation data of N users on the terminal, and obtain the feature model data of each of the N users, the feature model data of each of the N users includes: the bag of words of the N users model, the similarity between the bag-of-words model of each user among the N users and the bag-of-words model of other users among the N users; N is an integer greater than 1.

[0059] In actual implementation, the cloud server 12 communicates with the terminal 10 in real time to obtain historical operation data of N users on the terminal interaction page. The terminal interaction page can be some application programs displaying home appliance information, for example, including at least one home appliance An application store for product information; the acquired historical operation data may include...

Embodiment 2

[0072] In order to better reflect the purpose of the present invention, further illustrations are given on the basis of the above-mentioned embodiments.

[0073] An embodiment of the present invention provides a method for obtaining recommendation information, such as image 3 As shown, the method includes:

[0074] S301: When the preset recommendation information update condition is satisfied, acquire historical operation data of N users on the terminal, and obtain feature model data of each of the N users; N is an integer greater than 1.

[0075] In actual implementation, the recommendation information update condition can be preset, and the recommendation information update condition includes at least one of the following: the new operation data of N users for the terminal is acquired; the time from the current moment to the last update moment of the recommendation information The interval is greater than or equal to a preset time threshold.

[0076] Optionally, the recom...

Embodiment 3

[0102] In order to better reflect the purpose of the present invention, further illustrations are given on the basis of the above-mentioned embodiments.

[0103] An embodiment of the present invention provides a method for obtaining recommendation information, the method including:

[0104] Step A1: When the preset recommendation information update condition is satisfied, obtain the historical operation data of N users on the terminal, and obtain the feature model data of each of the N users; N is an integer greater than 1.

[0105] In actual implementation, based on the text similarity calculation algorithm, the acquired historical operation data of N users can be processed to obtain the feature model data of each of the N users, such as Figure 4 As shown, the specific steps include:

[0106] S401: Read the historical operation data of N users, and obtain the user ID of each user in the N users.

[0107] In actual implementation, the historical operation data of N users st...

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PUM

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Abstract

The embodiment of the invention discloses a method for obtaining recommendation information. The method comprises the steps of obtaining historical operation data of N users for a terminal, obtainingfeature model data of each user in the N users, the feature model data comprising bag-of-words models of the N users, and similarity between the bag-of-words model of each user in the N users and bag-of-words models of other users in the N users; performing data mining on the word bag models of the N users to obtain a frequent item set and an initial association rule of each user in the N users; when i is from 1 to N, screening the initial association rule according to the feature model data of the ith user in the N users to obtain the screened association rule of the ith user in the N users;according to the screened association rule of the ith user in the N users, obtaining recommendation information. According to the method, the association rule is obtained according to the feature model data of the user and serves as the basis for obtaining the recommendation information, and the obtained recommendation information is more comprehensive and conforms to the personalized features ofthe user.

Description

technical field [0001] The present invention relates to the field of information processing technology / artificial intelligence, and in particular to a method, device and computer-readable storage medium for acquiring recommended information. Background technique [0002] With the advent of the cloud era, big data has also attracted more and more attention. The feature of big data is distributed data mining for massive data. It relies on distributed processing of cloud computing, distributed databases, cloud storage and Virtualization technology has made it easy to use the massive data that seemed difficult to collect and use. Through continuous innovation in all walks of life, big data is gradually creating more value for human beings. [0003] At present, the use of mobile terminals by users is very common. Many daily activities of users are completed on mobile terminals, such as purchasing goods, eating and drinking, posting comments, browsing interesting information, etc....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F16/9535G06F17/27G06N5/02
CPCG06N5/025G06F40/289G06F16/35G06F16/9535
Inventor 陈必东杜放
Owner FOSHAN SHUNDE MIDEA ELECTRICAL HEATING APPLIANCES MFG CO LTD