Recommendation and Interest of Users

  • Baljeet Kaur Nagra
  • Bharti Chhabra
  • Dolly Sharma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)


This paper tells the overall exploration of social recommender systems. All the people who are in participation of his work will become familiar with new featured recommendation system methods, classification of recommender system according to different purpose criteria, common estimated methodologies and possible apps that can employ the different social recommender systems. A recommender system’s main purpose is to provide users with customize online service recommendations to deal the fast growing online information an excessive load of issues and to betterment the users’ connection and its management. Various techniques of different types of recommender system have been produced and various software has been generated since 1995 and various kinds of recommender system software has generated lately for a different sort of apps. Researchers and management trainees recognized that recommender systems give a wide opportunities and challenges for limited sized tweets in the Twitter post, with more lately successful evolution of the recommender systems for real-world applications. The largeness of post on different subjects is enormous to social sites users who can be interested in a few subjects.


Social site Customized recommendation Social recommendation Users’ interests 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Baljeet Kaur Nagra
    • 1
  • Bharti Chhabra
    • 1
  • Dolly Sharma
    • 1
  1. 1.Department of Computer ScienceChandigarh Group of CollegesMohaliIndia

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