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A user behavior data analysis method, device and smart TV

A behavior, user technology, applied in the field of data processing

Active Publication Date: 2019-02-01
TCL CORPORATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a user behavior data analysis method, device and smart TV, aiming to solve the problem that the smart TV provided by the prior art cannot obtain the similarity between users in the user group according to the user behavior data

Method used

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  • A user behavior data analysis method, device and smart TV
  • A user behavior data analysis method, device and smart TV
  • A user behavior data analysis method, device and smart TV

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Experimental program
Comparison scheme
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Embodiment 1

[0059] figure 1 The implementation flow of the method for analyzing user behavior data provided by Embodiment 1 of the present invention is shown. In the whole process, the smart TV first establishes user behavior data samples, and then performs clustering processing on the established user behavior data samples, and classifies users with similar behavior data into one cluster to form multiple similar user groups. as follows:

[0060] In step S101, a user behavior data sample is established.

[0061] In the embodiment of the present invention, the smart TV first obtains the user's original behavior data, and then cleans and formats the original behavior data according to the pre-established data specifications to form new user behavior data samples that meet the specifications, and finally provides these complete Establish data storage labels and classification catalogs for user behavior data samples that meet the specifications, and import them into the big data storage pla...

Embodiment 2

[0113] Figure 4 The implementation flow of the method for analyzing user behavior data provided by Embodiment 2 of the present invention is shown. In the whole process, the smart TV first establishes user behavior data samples, and then performs clustering processing on the established user behavior data samples, and classifies users with similar behavior data into one cluster to form a similar user group. Find out the undiscovered correlation between the behavior data of users in similar user groups in the same cluster, and find out the invisible correlation network contained in the behavior data. The specific process is detailed as follows:

[0114] In step S401, a user behavior data sample is established.

[0115] In step S402, the behavior data of k users are selected from the user behavior data samples, and the behavior data of the k users are respectively used as respective centers of k clusters.

[0116] In step S403, respectively calculate the dissimilarities betwee...

Embodiment 3

[0157] Figure 5 A specific structural block diagram of the user behavior data analysis device provided by Embodiment 3 of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown.

[0158] The device can be a software unit, a hardware unit or a combination of software and hardware built in the smart TV, and the device 5 includes: a behavioral data sample establishment unit 51, a first cluster center determination unit 52, and a first clustering result generation unit 53 , a second cluster center determining unit 54 and a second clustering result generating unit 55 .

[0159] Wherein, the behavior data sample establishment unit 51 is used to establish the user behavior data sample;

[0160] The first cluster center determination unit 52 is configured to select behavior data of k users from the user behavior data samples, and use the behavior data of the k users as respective centers of the ...

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Abstract

The invention is applicable to the technical field of data processing and provides an analysis method and device for user behavior data and a smart television. The method comprises the steps of firstly establishing user behavior data samples, then performing clustering treatment to the established user behavior data samples, and dividing users with similar behavior data into a cluster to form a similar user group. By performing the clustering processing to the user behavior data samples and dividing users with similar behavior data into a cluster to form a similar user group, since the users in the similar user group generally have the same preference, videos which were ever viewed by the users similar to a current user, websites which were ever browsed or objects which were ever brought can be recommended to the current user, personalized service can be better provided for the users and the user experience is improved.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a user behavior data analysis method, device and smart TV. Background technique [0002] At present, the market share of smart TVs has been increasing year by year. Users watch and use smart TVs tend to be personalized and diversified, and applications and tools based on smart TVs are also flourishing. [0003] However, the existing smart TV applications and tools cannot accurately, timely and efficiently analyze the user's behavior data, so as to understand the user's usage behavior, and then obtain the similarity between users in the user group. Contents of the invention [0004] The embodiment of the present invention provides a user behavior data analysis method, device and smart TV, aiming to solve the problem that the smart TV provided by the prior art cannot obtain the similarity between users in the user group according to the user behavior data . ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/28
Inventor 李明烈
Owner TCL CORPORATION