Search Results - "Anwar, Taushif"

CD-SPM: Cross-domain book recommendation using sequential pattern mining and rule mining by Anwar, Taushif, Uma, V.

“…Recommender system suggests a personalized recommendation by filtering the information based on users interest. Nowadays, users like to purchase the best…”
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Comparative study of recommender system approaches and movie recommendation using collaborative filtering by Anwar, Taushif, Uma, V.

“…The increasing demand for personalized information has resulted in the development of the Recommender System (RS). RS has been widely utilized and broadly…”
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Collaborative filtering and kNN based recommendation to overcome cold start and sparsity issues: A comparative analysis by Anwar, Taushif, Uma, V., Hussain, Md. Imran, Pantula, Muralidhar

“…Collaborative Filtering (CF) has intrigued several researchers whose goal is to enhance Recommender System’s performance by mitigating their drawbacks. CF’s…”
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CDRec-CAS: Cross-Domain Recommendation Using Context-Aware Sequences by Anwar, Taushif, Uma, V., Srivastava, Gautam

“…Recommender Systems (RSs) are a subclass of information filtering systems. RSs assist users in choosing interesting items from an extensive collection of…”
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Adaptive Weighted Low-rank Sparse Representation for Multi-view Clustering by Khan, Mohammad Ahmar, Khan, Ghufran Ahmad, Khan, Jalaluddin, Anwar, Taushif, Ashraf, Zubair, Atoum, Ibrahim, Ahmad, Naved, Shahid, Mohammad, Ishrat, Mohammad, Alghamdi, Abdulrahman Abdullah

“…Ongoing researches on multiple view data are showing competitive behavior in the machine learning field. Multi-view clustering has gained widespread acceptance…”
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Complementary incomplete weighted concept factorization methods for multi-view clustering by Khan, Ghufran Ahmad, Khan, Jalaluddin, Anwar, Taushif, Al-Huda, Zaid, Diallo, Bassoma, Ahmad, Naved

“…The main aim of traditional multi-view clustering is to categorize data into separate clusters under the assumption that all views are fully available…”
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Weighted Concept Factorization Based Incomplete Multi-view Clustering by Khan, Ghufran Ahmad, Khan, Jalaluddin, Anwar, Taushif, Ashraf, Zubair, Javed, Mohammad Hafeez, Diallo, Bassoma

“…The primary objective of classical multiview clustering (MVC) is to categorize data into separate clusters under the assumption that all perspectives are…”
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MRec-CRM: Movie Recommendation based on Collaborative Filtering and Rule Mining Approach by Anwar, Taushif, Uma, V

“…Recent years have observed an excellent success of recommender system in the field of movies, social network, tourism and e-commerce (such as eBay and Amazon)…”
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Book Recommendation for eLearning Using Collaborative Filtering and Sequential Pattern Mining by Anwar, Taushif, Uma, V., Shahjad

“…Reading is a fundamental skill that every person needs to expand throughout his/her lifetime. Book recommendation for eLearning systems can gain more attention…”
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