Web Application for Community Answering

Authors

  • S. Abzal Basha
  • S. Vijayalakshmi

Abstract

In before period if we need any items for the daily life we directly went to the shop and bought the item. If the item is the regularly purchased item is not a problem. But if the item is new to the market or if we buy the product at the first item we don’t have any idea about the product. We directly purchased the item and after the using the item we can able to find whether the product is the good or bad. But nowadays we can buy the products in the online. In this paper they propose the community detection. If the product we want to buy we can directly searched the product and read the review. The review has the question and answer. These question and answer statement can provide the essentials details about the product. With the help of these comments we can calculate the quality of the product. This system can be implemented using community detection. It can provide the efficiency of about 93% with more positive outcome.

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Published

2020-02-19

Issue

Section

Articles