Kumar Shubhankar

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In this paper we introduce a novel and efficient approach to detect and rank topics in a large corpus of research papers. With rapidly growing size of academic literature, the problem of topic detection and topic ranking has become a challenging task. We present a unique approach that uses closed frequent keyword-set to form topics. We devise a modified(More)
CERTIFICATE It is certified that the work contained in this thesis, titled Topic-centric Recommender Systems for Bib-liographic Datasets by Aditya Pratap Singh, has been carried out under my supervision and is not submitted elsewhere for a degree. Acknowledgments First and foremost, I would like to express my deep-felt gratitude towards my thesis adviser,(More)
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