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Data Analytics tools : a user perspective

Thabtah, Fadi; Town, Paul - In: Journal of information & knowledge management : JIKM 18 (2019) 1, pp. 1950002-1-1950002-16

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A customer loyalty model for e-commerce recommendation systems

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Improving the shilling attack detection in recommender systems using an SVM Gaussian mixture model

Alostad, Jasem M. - In: Journal of information & knowledge management : JIKM 18 (2019) 1, pp. 1950011-1-1950011-18

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A recommendation method based on semantic similarity and complementarity using weighted taxonomy : a case on construction materials dataset

Bagherifard, Karamollah; Rahmani, Mohsen; Rafe, Vahid; … - In: Journal of information & knowledge management : JIKM 17 (2018) 1, pp. 1850010-1-26

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Hybrid group recommendation using modified termite colony algorithm : a context towards big data

Roy, Arup; Banerjee, Soumya; Bhatt, Chintan M.; Badr, … - In: Journal of information & knowledge management : JIKM 17 (2018) 2, pp. 1850019-1-31

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Machine learning techniques in web content mining : a comparative analysis

Anami, Basavaraj S.; Wadawadgi, Ramesh S.; Pagi, Veerappa B. - In: Journal of information & knowledge management : JIKM 13 (2014) 1, pp. 1-12

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Product recommendation system using Tunicate swarm Magnetic Optimization Algorithm-based Black hole Renyi Entropy Fuzzy Clustering and K-Nearest Neighbour

Gupta, Shefali; Dave, Meenu - In: Journal of information & knowledge management : JIKM 20 (2021) 3, pp. 2150033-1-2150033-27

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A framework for users’ attitude prediction based on visual features : application to movies recommendations

Baazaoui, Hajer; Haddad, Mohamed Ramzi - In: Journal of information & knowledge management : JIKM 17 (2018) 4, pp. 1850037-1-18

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Query execution time analysis using apache spark framework for big data : a CRM approach

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CAPIRS : COVID-19-based application programming interface recommendation system for the developers

Nawaz, Muhammad Sajid; Saif-Ur-Rehman, Khan; Ahmad, Bashir - In: Journal of information & knowledge management : JIKM 21 (2022) 1, pp. 2240004-1-2240004-30

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