i-manager Publications

A System That Helps Sell/Buy Products with Ease

S. Bheemanjaneyulu*, K. L. Narayana**

* Assistant Professor, Sri Venkateswara College of Engineering & Technology, (Autonomous), Chittoor. A.P, India.

** Director (R&D),Sri Venkateswara College of Engineering & Technology, (Autonomous),Chittoor.A.P,India.

Periodicity:December - February'2014
DOI : https://doi.org/10.26634/jit.3.1.2641

Abstract

To get an idea of the modern gadgets that are available in the market and to select/ buy a product, a visit to the mall/ shop/ exhibition is needed till now. However, the products are now presented to the individual by online and he/ she need not take the trouble of going out. Recommender systems are alternative to search algorithms, as they help users discover item they might not have found by themselves. These systems use search engines indexing non-traditional data. Recommender systems are developed to get the pulse of the customer and to present the items, in which he/ she is interested and thus the manufacturer is able to sell his products and the customer is able to buy the items with less effort. Should it be also possible at this rate, using the recommender systems, to diagnose and prescribe the medicine to the ailing patient, to be experimented/ studied?

Keywords

Collaborative Filtering,Content Based Filtering,Model Based,Memory Based System,Knowledge Based

How to Cite this Article?

Bheemanjaneyulu, S., and Narayana, L. K. (2014). A System That Helps Sell/Buy Products with Ease. i-manager’s Journal on Information Technology, 3(1), 1-5. https://doi.org/10.26634/jit.3.1.2641

References

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	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

A System That Helps Sell/Buy Products with Ease

Abstract

Keywords

How to Cite this Article?

References

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