A Bayesian Based Search and Classification System for Product Information of Agricultural Logistics Information Technology - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

A Bayesian Based Search and Classification System for Product Information of Agricultural Logistics Information Technology

Résumé

In order to meet the needs of users who search agricultural products logistics information technology, this paper introduces a search and classification system of agricultural products logistics information technology search and classification. Firstly, the dictionary of field concept word was built based on analyzing the characteristics of agricultural products logistics information technology. Secondly, the system used meta-search engine to search related pages on the Internet based on keywords collections, and then used Web mining to analyze and filter the relevant pages. Finally, classify the agricultural products logistics information technology by web text classification according to different users’ needs. The results showed that the system could efficiently and accurately search the required information, and classification with good results.
Fichier principal
Vignette du fichier
978-3-642-27281-3_49_Chapter.pdf (4 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01351844 , version 1 (04-08-2016)

Licence

Paternité

Identifiants

Citer

Dandan Li, Daoliang Li, Yingyi Chen, Li Li, Xiangyang Qin, et al.. A Bayesian Based Search and Classification System for Product Information of Agricultural Logistics Information Technology. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.437-444, ⟨10.1007/978-3-642-27281-3_49⟩. ⟨hal-01351844⟩
100 Consultations
71 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More