NEO NEWS RECOMMENDER JUNCTION

INFORMATION TECHNOLOGY

Neo News Recommender refers to the application of computer and information technology for recommending news to users. A basic issue with news benefit sites is that the volumes of articles can overpower the users. The challenge is to help users discover news articles that are tout to read. Information filtering is a technology in response to this challenge of information overload in general. . The main architecture of our system includes data filtering, data preprocessing, data analysis, data optimization and so on. The aim of the project is to provide the personalized information on the Internet. It also helps to alleviate the problem of information overload which is a very common phenomenon with information retrieval systems and enables users to have access to products and services which are not readily available to users on the system. We have presented the implementation of NNRJ using the collaborative filtering technique and click behaviour, which is based on collecting and analyzing a large amount of information on users’ behaviours, activities or preferences and predicting what users will like based on their similarity to other users. Use of web feeds and aggregator provides optimization to frequently updated news content and ensures privacy by not needing to join each site’s email news letter. Use of web services on the other hand creates a localhost and android connectivity which gives connectivity to remote accounts on both interfaces.

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