期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2014
卷号：5
期号：3
页码：146-150
语种：English
出版社：Ayushmaan Technologies
摘要：Last decade and half had been witnessed to an unprecedented expansion of Internet, huge amount of information is available in almost all domains and subjects and is ever expanding. This has resulted in data overloading; due to which it has become an increasing problem for retrieving useful information from internet. Users searching for products or content have endless number of Web pages to navigate and require enormous efforts, requires judgmental aptitude and intuitiveness to extract meaningful information from the ever expanding web of data. Recommender systems are meant to be an important solution to the data overload problem that persists today in World Wide Web. The job of the recommender system is to provide the consumer with a selection of products or content which suit his/her needs so that the user are relived from the herculean task of browsing through enormous number of web pages. Recommender system has undergone a lot of improvements in last two decades in terms of accuracy in output and has been an intense area of research in recent times.
