Review of Web Recommendation System and Its Techniques: Future Road Map

Recently the use of web recommendation techniques is growing worldwide with aim of providing the customized required data to end users. Different recommendation methods and solutions impose many research challenges to researchers. Web recommendation techniques are divided into two main types such as content based web recommendation system and collaborative web recommendation system. Basically web recommendation systems are building simultaneously with web. This system at the start based on the demographic, collaborative and content based filtering. At present such systems containing the social information. For the future, such systems will use the local, personal and implicit information over the Internet. In this paper, the main goal is to present the review of web recommendation systems and different techniques. Web recommendation systems recently suffered from different limitations. The current web recommendation techniques need to be more efficient in order to overcome the limitations of them.