DocumentCode :
2990080
Title :
An approach of conceptual knowledge broaden based E-Commerce Recommendation
Author :
Pang Xiu-li ; Yu Bo
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
fYear :
2012
fDate :
20-22 Sept. 2012
Firstpage :
27
Lastpage :
32
Abstract :
E-Commerce recommendation helps consumers find the products and services that they want. Many challenging research problems in E-Commerce remain. Most research use syntactic matching techniques while they miss a lot of useful knowledge during the recommendation process. An approach on conceptual broaden knowledge based E-Commerce Recommendation is proposed in this paper that overcomes these drawbacks. The word acquiring algorithm is applied to collect the recommender word and some typically combinations, based on the Information Entropy. Meanwhile the general dictionary and the special dictionaries are constructed, and inquiring broaden algorithm is used to combine with concept knowledge. Experiments show that the proposed approach is effective.
Keywords :
dictionaries; electronic commerce; recommender systems; broaden algorithm; conceptual knowledge; e-commerce recommendation; general dictionary; information entropy; recommender word; special dictionaries; syntactic matching techniques; word acquiring algorithm; Computers; Data mining; Dictionaries; Educational institutions; Information entropy; Semantics; Vectors; E-Commerce recommendation; conceptual knowledge; inquiring broaden; term extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location :
Dallas, TX
ISSN :
2155-1847
Print_ISBN :
978-1-4673-3015-2
Type :
conf
DOI :
10.1109/ICMSE.2012.6414156
Filename :
6414156
Link To Document :
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