Commodity Search System for Online Shopping Using Web Mining application
Commodity Search System for Online Shopping Using Web Mining application report in php. There are so many e-commerce websites available now that the user gets confused as to which site will get them the best deal. Presently, there are websites which compare the prices but not the sentiments of the products. The user has to open the site, then input the product details and the price comparison lists thus get displayed. The proposed web browser extension presents a price comparison of all the online products to show us all the best possible prices for the products. This is one of the best PHP project on Commodity Search System for Online Shopping Using Web Mining application. You can download best PHP project on and report on Commodity Search System for Online Shopping Using Web Mining application. Click here to get complete php projects lists.
We will extract the product information from URL using Pattern matching algorithm. The technology used for the system are Node.js, Angular.js and Mongo dB (No SQL database) Web scraping and Web Crawler. You can get report on Commodity Search System for Online Shopping Using Web Mining application. The web scraping and crawler are used to extract the raw data from e-commerce websites pages. This web browser extension will allow a simple and good experience of shopping products online. You can download PHP project on Commodity Search System for Online Shopping Using Web Mining application.
Commodity Search System for Online Shopping Using Web Mining application management report in php.The Existing systems provide good functionalities, but they have certain drawbacks too. The current existing systems generate more traffic because the technique used by them is web crawling. The immense popularity of the price comparison systems means that these sites are here for long and continue providing amazing cost savings to consumers on the e-commerce ecosystem. Our price comparison extension will be very useful to consumers/users which will enhance their shopping experience which is done online.
In this paper, I have indicated the need to automate shopping process on Internet and provide more personalized information services for customers. Therefore, developing intelligent shopping system is a promising way to achieve this goal. In the work, I present a multi-agent system to provide shopping service for the commodities that a consumer does not buy frequently. The system integrates built-in expert knowledge and the customer’s current needs, and recommends optimal products based on multi-attribute decision making method. To reduce the effort of system-customer interactions, the system utilizes customer-based collaboration filtering approach to recommend the products. Besides, in order to maintain a semantic conversation with sellers, the commodity ontology is also utilized to support sharable information format and representation. A prototype of the system is implemented using the Java Agent Development Framework (JADE). The result shows that the system performs efficiently and can help customers save enormous time for Internet shopping. My future work will be focused on developing some security mechanisms to provide security services for the system.
H/W System Configuration:-
System : Pentium I3 Processor.
Hard Disk : 500 GB.
Monitor : Standard LED Monitor
Input Devices : Keyboard
Ram : 4 GB
S/W System Configuration:-
Operating system : Windows 7/8/10.
Available Coding Language : HTML5, CSS3, PHP
Database : MYSQL
|Project Name||Commodity Search System for Online Shopping Using Web Mining application|
|Project Cost||50$/ Rs 3499|
|Delivery Time||48 Hour|
|For Support||WhatsApp: +91 9481545735 or Email: firstname.lastname@example.org|
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