Web recommendation system

Web recommendation system: Introduction The term recommendation is used for describing the suggestions of a particular product or service. therefore the web recommendation systems are a essential part of e-commerce applications. The users who search about some kinds of product or services the recommendation systems helps them by suggesting the most appropriate product or services. In most of the cases the web based recommendation systems are developed using the web usage mining and content mining techniques.  In this context using this concept a number of applications  are created. The recommendations systems can be described in three major categories. There is an extensive class of Web applications that involve predicting user responses to options. Such a facility is called a recommendation system. However, to bring the problem into focus, two good examples of recommendation systems are [1]: Offering news articles to on-line newspaper readers, based on a prediction of reader interests. Offering customers of on-line retailer suggestions about what they might like to buy, based on their past history of purchases and/or product searches. Recommendation systems use a number of different technologies. That can be classify these systems into two broad groups Content-based systems examine properties of the items recommended. For instance, if…

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