A price comparison system based on Lucene

Author(s):  
Jianxia Chen ◽  
Ri Huang
2008 ◽  
Vol 33-37 ◽  
pp. 1445-1450
Author(s):  
Zong Feng Zou ◽  
Tao Yu

By Data Grid to handle data sharing problems of distributed position in Group Purchasing. And so, evaluating and mining massive amounts of data is without fail required replication is important techniques to provide fast data access. Several replication modeling algorithms are studied in the paper. OptorSim provides a modular framework under different Grid environment. OptorSim is used to achieve the Grid simulator to research the stability and transient action. Modern group-companies are often made of many subsidiary companies. Stocking centralization can economize much fund for its large-scale purchasing action. Subordinate companies hope to choose the best provider according to reliable data in most possible area. Advanced data in variety units is massive amounts of data that must be post-processed and organized to support provider evaluation actions. Increasing data volumes from all of the companies challenge to state-of-the-art database system and data-loading techniques. Grid concept is adopted to solve the problem in the project which is named Price Comparison System (PCS). One of the key technologies in the system is to improve the data access.


2010 ◽  
Vol 121-122 ◽  
pp. 209-214
Author(s):  
Pei Guang Lin ◽  
Su Ying Zhou ◽  
Lin Zhao

With the development of the Internet, the online shopping was increasingly into people's life. In order to provide convenient search and price comparison service for shopping online, this article designs and implements automatic search and comparison system based on Deep web. To overcome the difficulties of data capture from the current dynamic webpage, the background’s data capture of this system implements by watir. The search module for end-users implements by JavaEE. The practical application shows that this system can fully satisfy people’s needs in search and comparison.


1985 ◽  
Author(s):  
Brent G. Kroetch ◽  
Nancy S. Barrett ◽  
Deb Figart

Author(s):  
M. Agus Maryanto ◽  
Musriyadi Nabiu ◽  
Septri Widiono

This study aims to understand the process, reasons for the actions of farmers and analyze the factors that influence farmers to switch commodities. The number of respondents is 46 farmers selected using Simple Random Sampling. Description and multiple regression are used in this research. The results showed that the commodities convertion is done in some  stages.  The main reason is that farmers are able to earn income from their initial plants while they wait their new crops starting to produce. There are three reasons that farmers switch of social, economic, and agronomists. Social reasons, namely, to see the success of a friend of 41.30%, follow friends 39.13%, and their-owned beliefs 26.08%. Economic reasons is the high price of cocoa 60.86%,  continuity of production 100% and marketing easy in 93.47%. Agronomic reasons, namely cocoa seedlings are easy to get 95.65%, maintenance  / cultivation is easy 89.13%, and easy in post- harvest handling 93.47%. The results of regression analysis showed the number of dependents, a price comparison index, previous farm receipts, the coffee plant age, perception of control of the commodity, ease of cultivation and post harvest simultaneously significantly affect the percentage of land area converted. While the partial factors of coffee plant age and the perception of the commodity rather have real impact on the land area converted commodities. Keywords: Commodities Convertion, Converion Process,Influenced Factors


2018 ◽  
Vol 136 (11) ◽  
pp. 1271 ◽  
Author(s):  
Peter Y. Zhao ◽  
Raheem Rahmathullah ◽  
Brian C. Stagg ◽  
Faisal Almobarak ◽  
Deepak P. Edward ◽  
...  

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