Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Recent trends in Mobile applications have seen a huge up rise in applications that are convenient for practical usage in daily life. This project aims to help the user check the availability and the best price of a product out of all the e-commerce websites that sell the product. The user has to enter the product information in the application and then the application compares pricing of that product from all the websites that sell the product using a MetaSearch algorithm. Product availability or pricing can also be checked by scanning a QR code of the particular product. The application is embedded with a QR scanner service. Once the QR code is scanned, application’s databases are searched through using MetaSearch algorithm to display a comparative view of the information in different sites. If a product isn’t available in the application, push notifications are sent to users once they are on sale.
Keywords:
Mobile Application, MetaSearch Algorithm, QR Scanner, Push notifications
Cite Article:
"Online Product Price Comparison Application Using MetaSearch Algorithm", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 10, page no.209 - 212, October-2018, Available :http://www.ijrti.org/papers/IJRTI1810034.pdf
Downloads:
000205356
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator