User similarity-based business behavior prediction method under ubiquitous network

A technology of user similarity and prediction method, applied in prediction, data processing application, calculation, etc., can solve problems such as difficult to meet recommendation requirements, and achieve the effect of overcoming huge time and space costs

Inactive Publication Date: 2015-08-12
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that the existing algorithms are difficult to meet the recommendation requirements of increasingly complex social networks

Method used

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  • User similarity-based business behavior prediction method under ubiquitous network
  • User similarity-based business behavior prediction method under ubiquitous network
  • User similarity-based business behavior prediction method under ubiquitous network

Examples

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Embodiment Construction

[0044] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0045] In this embodiment, the business behaviors under the ubiquitous network are divided into 4 categories according to the occupation of network resources: download category (FTP continuous download, network video, BT download, etc.), relatively large rate burst category (Http web page access, microblog etc.), smaller rate bursts (QQ, WeChat text chat, etc.) conversational (QQ video, video conferencing, Internet calls, etc.).

[0046] Users can generate 4-ary business behavior sequences within a period of time. The training behavior sequence is used to predict the behavior that may occur in the next time period, so as to determine the type of business, and then select the appropriate network resources to provide users with high-quality business. This solution combines the data mining method based on user similarity and the variable-order M...

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Abstract

The invention discloses a user similarity-based business behavior prediction method under a ubiquitous network. The objective of the invention is to realize effective mining and prediction of user behavior rules under a wireless ubiquitous environment. The method of the invention includes the followings steps that: an interest-based user behavior mining algorithm is researched, so that complete construction and cluster formation of user basic clusters can be realized; behavior rules of the user clusters are researched, and the behavior rules of the user clusters are combined so as to form behavior rules of user individuals; and a variable order Markov chain-based prediction model is researched, and complete mathematical descriptions of a whole theory model are constructed, and the solving of the model can be realized. With the user similarity-based business behavior prediction method under the ubiquitous network adopted, business states of user behaviors can be accurately predicted, and decision references can be provided for personalized customization of businesses, recommendation of optimal businesses and planning and construction of future networks, and the like.

Description

technical field [0001] The invention relates to a data mining method for user behavior and a multi-markov chain-based user behavior prediction method, which belongs to the technical field of wireless communication. Background technique [0002] The wireless ubiquitous network has been recognized as the future development direction of the wireless mobile network. The wireless ubiquitous network refers to the integration of the existing wireless communication network, wired network, various dedicated networks and networks based on wireless sensors. It can provide ubiquitous communication services in a heterogeneous environment and provide services based on environment awareness. The wireless ubiquitous network presents the characteristics of network heterogeneity, terminal modularization and environmentalization, computing ubiquitousness, and service personalization. Among them, business personalization refers to user needs as the center, user behavior as the starting point, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
Inventor 张晖陈娟杨龙祥朱洪波
Owner NANJING UNIV OF POSTS & TELECOMM
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