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  • Context development for big data analysis 
    Varma, Nitin. (Indian Institute of Management Ranchi, 2018-07-06)
    Big data was a rather fresh concept, and the technologies were barely known. Definitions itself of big data were still emerging and over the years, there could not have been even a consideration that the time for convergence ...
  • Developing optimization models for dyadic prediction in the context of sparse data 
    Kumar, Bipul. (Indian Institute of Management Ranchi, 2018-05-02)
    There is renewed interest in recommender systems (RS) research after the Netflix prize competition. in parallel, there is also a growth of social medial which has driven research in link prediction, with the aim of ...
  • Identifying meaningful recommendation partners in collaborative filtering framework for improved recommendations 
    Kumar, Rahul. (Indian Institute of Management Ranchi, 2017-11-04)
    Internet today has surrounded the users with its symbolic problem of information overload where a consumer has far more than the required choices. In the realm of e-commerce industry, recommender systems (RS) utilize the ...
  • New perspectives on gray sheep behavior in recommender systems 
    Srivastava, Abhishek. (Indian Institute of Management Ranchi, 2019-04-22)
    With the rapid rise in popularity of e-commerce applications and the dramatic increase in the size of data present in such applications along with the related social media data generated by customers, information filtering ...
  • An NLP based approach for knowledge extraction in microtext 
    Mukherjee, Shubhadeep. (Indian Institute of Management Ranchi, 2017)
    Natural language processing (NLP) deals with analyzing, understanding and generating the language which humans use to communicate naturally. this technique has come into prominence from the early 2000s. NLP has become ...