Title :
A price comparison system based on Lucene
Author :
Jianxia Chen ; Ri Huang
Author_Institution :
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
Abstract :
Lots of online shopping systems (OSS) are proposed and used practically due to the rich opportunities provided by the Internet. The traditional OSS, however, essentially provides basic browsing via category and "advanced" keyword without any analysis. The paper presents a price comparison system of online products to show all the possible prices of products for customers. In particular, the proposed system develops a multithreaded crawler to implement web information crawling, and uses Lucene, a very popular full-text search library, to implement the data indexing and retrieval. The experimental results demonstrate that the proposed system improves shopping efficiencies for the consumers in a flexible and advanced way.
Keywords :
Internet; data mining; indexing; information retrieval; multi-threading; pricing; retail data processing; search engines; Internet; Lucene; OSS; Web information crawling; advanced keyword; browsing; data indexing; data retrieval; full-text search library; multithreaded crawler; online products; online shopping system; price comparison system; product category; product prices; shopping efficiency; Indexing; Lucene; crawler; price comparison; search engine;
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
DOI :
10.1109/ICCSE.2013.6553894