Research on Bayesian Network Retrieval Model in Electronic Commerce

Shuang Zhao; Yong Min Lin

doi:10.4028/www.scientific.net/AMM.263-266.2726

Paper Titles

The Development of Electronic Commerce Website of National Special Requirement
p.2703

Eliminating the Information Isolated Island of EG System - A Case Study of CIQ
p.2708

Exploring the Resource Nature of Online Sourcing Marketplace
p.2712

On the Construction of E-Commerce Websites in Universities
p.2720

Research on Bayesian Network Retrieval Model in Electronic Commerce
p.2726

Research on the Mechanism of Trust in the Open Online Sourcing Marketplace
p.2732

The Improvement of a Prediction Study of Transactions Based on E-Commerce Site Search Data
p.2738

Analysis of E-Commerce Application in Coal Enterprises: A Case Study of Shandong Quanxing Enterprise
p.2746

Methodological Control Framework and Scheduling Algorithm for Internet
p.2751

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Research on Bayesian Network Retrieval Model in...

Research on Bayesian Network Retrieval Model in Electronic Commerce

Abstract:

On the analysis about the problem of information retrieval in the Electronic Commerce environment, this paper presents a Bayesian network retrieval model. This model adopts the topology of three layer nodes, and uses co-occurrence analysis method to mine relationships between the terms. A query expansion method according to domain ontology is used to extend the users query. Finally the similarity between the document and the query can be measured by calculating the posterior probability of relevance of the document. Experiments show that the model which will provide a theoretical basis for the problem of information retrieval in the Electronic Commerce environment can effectively improve the retrieval performance.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2726-2731

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2726

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Online since:

December 2012

Authors:

Shuang Zhao*, Yong Min Lin

Keywords:

Bayesian Network (BN), Electronic Commerce, Information Retrieval, Ontology

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* - Corresponding Author

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