Call For Paper Volume:4 Issue:8 Aug'2017 |

Recommender Systems

Publication Date : 28/02/2015



Author(s) :

Pallavi Mude , Prof. Rahila Sheikh.


Volume/Issue :
Volume 2
,
Issue 2
(02 - 2015)



Abstract :

Abundant information is extracted from web at every second. When queries are thrown to the search engine, they are generally contain few words and are in natural languages. The search engine is not able to identify natural language and thus it become difficult to extract correct information from world wide web based on the users interest. Here, the recommendation technique comes into picture. There are number of recommendation applications available in market which is used to support various kind of data sources like text, images, videos. In this review we list out the approaches , techniques and application of recommendation system which helps to map future direction.


No. of Downloads :

38


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Recommender Systems

February 13, 2015