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Network optimization method based on user interest grouping

A network optimization and user interest technology, applied in the field of digital home, can solve the problems of not being able to truly reflect the real needs of users, not being able to achieve accurate and fast guidance, and high search costs, etc., to achieve suppression of network flooding, high efficiency and cost, effect of simple grouping

Inactive Publication Date: 2014-09-03
INST OF DONGGUAN SUN YAT SEN UNIV +1
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AI Technical Summary

Problems solved by technology

This method still cannot guide to the target node accurately and quickly
[0005] 1. The current P2P network grouping does not use user interests to group, but uses artificial or knowledge system classification, which cannot truly reflect the real needs of users
[0006] 2. Although the maintenance cost of the unstructured solution is low, the search cost is high; the structured solution consumes a lot of maintenance

Method used

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  • Network optimization method based on user interest grouping
  • Network optimization method based on user interest grouping
  • Network optimization method based on user interest grouping

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0042] The system consists of three layers, such as figure 1 As shown, the underlying unstructured P2P system, the middle layer is the core service layer, and the top layer is the user interface layer. The underlying unstructured P2P can be any current unstructured P2P system, such as the Gnutella system. The user interface layer is not the key point of the present invention, it is mainly an encapsulation of the core service layer, so that it can be better used by...

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Abstract

The invention discloses a network optimization method based on user interest grouping. The method comprises the following steps of node adding process, grouping optimization process, searching process and quitting processing. According to the method, grouping is carried out based on user interest; super nodes can be selected and interest groups are formed automatically; the interest groups are formed based on interest history and grouping is done without men, thereby guaranteeing the grouping to be simple and accurate; and searching carried out in a formed interest grouping network is more efficient and lower in cost than that carried out in a unstructured network, and the generation of network flooding is effectively restrained.

Description

technical field [0001] The invention relates to the technical field of digital home, in particular to a method for network optimization based on user interest grouping. Background technique [0002] As an important distributed architecture, P2P is becoming more and more popular with the Internet. However, due to the decentralized nature of P2P, its resource search has always been the primary problem that plagues its development. At present, the P2P network model can be divided into structured and unstructured according to its topology. The structured one is mainly to implement a rigorous hash map through discrete hash tables, such as network models such as Chord. Unstructured has no special topology requirements, and messages are forwarded by nodes. Common unstructured P2P networks include Gnutella. [0003] The current network division cannot be divided naturally according to user interests; it is divided by region or by artificial division of knowledge. There can be no...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L12/28
Inventor 林谋广王亚梅罗笑南薛凯军
Owner INST OF DONGGUAN SUN YAT SEN UNIV
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