DocumentCode :
3127604
Title :
Shopping search and the semantic web
Author :
Canthadai, Aravind M.
Author_Institution :
SmarTek21, Kirkland, WA, USA
fYear :
2011
fDate :
9-12 Jan. 2011
Firstpage :
699
Lastpage :
700
Abstract :
Faceted search is becoming very common in commerce search. We introduce a new type of facet: a predefined schema for a product which can be used for the drilldown process. The actual search process which ensues from using such a facet is what is commonly known as a keytree search. Keytree search is a search on a library of XML documents which need to be ranked so they satisfy both the keyword and the tree structure constraints. This is a position paper which proposes combining existing vector space models (for keyword match) with tree isomorphism codes (for structural match).
Keywords :
XML; information retrieval; retail data processing; semantic Web; tree codes; tree data structures; trees (mathematics); XML document; faceted search; keytree search; semantic web; shopping search; tree isomorphism code; vector space model; Biological system modeling; Electronic commerce; Libraries; Search engines; Semantics; XML; ecommerce; information retrieval; semantic web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2011 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8789-9
Type :
conf
DOI :
10.1109/CCNC.2011.5766578
Filename :
5766578
Link To Document :
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