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Title: A SURVEY ON RECOMMENDATONS BY COLLECTING THE USERS CURRENT INTEREST FROM WEB PAGES

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Title:
A SURVEY ON RECOMMENDATONS BY COLLECTING THE USERS CURRENT INTEREST FROM WEB PAGES
Author Name:
Shruti Agrawal and V D Thombre
Abstract:
In the Current world of web, social networking sites are becoming an inseparable part of the user’s life. The users almost every day on social networking sites are keen to find the similar users for their current requirements. So many of the systems recommend individuals based on their profile taste which is created during registration, but this actually fails to make individuals to meet their current requirements. To resolve this problem a system is needed that can fetch users current interest. The system is expected to be capable enough for reading all the content available on web page. After reading all the data, extracting the useful information and summarizing it in such a way so that it can help us for maintaining a list of user’s preferences. On the basis of such a list of user’s priority the system should recommend the other user of common interest. Already a lot of research work is available on the same topic. Many systems already exist that are performs the task of recommendation. This paper is a survey on such techniques that can help for the recommendations of the current data posted on the web. The techniques are like web crawler, fuzzy logic, different recommendation approaches like collaborative filtering approach and content based approach. The task is to analyze these techniques well and to conclude an approach that can give us the same task of recommendation with some better efficiency.
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