The unpredictable increase and growth of information on the World Wide Web, with the progress of innovative electronic devices, has made information of Web increasingly important in everyone’s life. In today’s era, as we all know internet technologies are growing rapidly, so web has become large storage of information and this amount of information grows with high and rapid rate of change without any control of editor; consequently, websites are also introduced rapidly with new innovations.
Web page recommender systems can recommend Web pages automatically which are most interesting to a particular user based on that current Web navigation behaviour of user. Regularly, Web users have to struggle for finding useful pages and are very probable to leave the site, if the index pages of a website are not well designed. Thus, even though recommenders have been appreciated and valued in ex...
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...past but, mentors of that user liked and accessed more in the past.
Knowledge-based Recommendation: To generate a recommendation, this method use domain knowledge about users and items, thus need to clean users log data.
Hybrid Recommendations: This method combines methods or techniques of two or more recommendations from above explained categories, in order to gain better optimization of system.
B. Classification of Web mining
A common classification or taxonomy of Web mining is done into three different types; Web content mining, Web structure mining and Web usage mining (, , ).
1) Web Content Mining: This is the process of extraction and integration of useful information, data and knowledge from Web page contents (, ). It is the process to discover useful information and web page contents like video, audio, hyperlinks as well as metadata .
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