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ITEM-BASED COLLABORATIVE FILTERING RECOMMENDER SYSTEM AND SENTIMENT ANALYSIS OF THE REVIEWS / MUHAMMAD ASEEM UR REHMAN.

By: MUHAMMAD ASEEM UR REHMAN (TP043519)Contributor(s): Mr. Manoj Jayabalan [Supervisor.]Material type: Text

TextPublication details: Kuala Lumpur : Asia Pacific University, 2017Description: 117 p. : ill. ; 30 cmSubject(s): Recommender systems (Information filtering)LOC classification: PM-29-28Dissertation note: A thesis submitted in fulfillment of the requirements for the award of the degree of M.Sc in Data Science and Business Analytics (UCMF1610DSBA).

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Reference	APU Library Reference Collection	Masters Theses	PM-29-28 (Browse shelf (Opens below))	1	Not for loan		00016098

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Previous	PM-29-25 THE DETERMINANTS OF THE INTERNAL AUDIT EFFECTIVENESS: AN EMPIRICAL INVESTIGATION IN OIL AND GAS SECTOR IN TRIPOLI, LIBYA /	PM-29-26 A REVISED ADOPTION FRAMEWORK FOR MOBILE LEARNING PLATFORM IN CLOUD COMPUTING ECOSYSTEM /	PM-29-27 E-LEARNING IMPLEMENTATION IN SOMALILAND HIGHER EDUCATION INSTITUTIONS /	PM-29-28 ITEM-BASED COLLABORATIVE FILTERING RECOMMENDER SYSTEM AND SENTIMENT ANALYSIS OF THE REVIEWS /	PM-29-29 THE IMPACT OF APPLYING GAMEFICATION ON EDUCATIONAL APPLICATION TO EMPOWER STUDENTS /	PM-29-30 A FRAMEWORK TO BUILD AND ENHANCE A MORE AUTOMATED ENVIRONMENT FOR SMARTPHONE APPLICATIONS BY USING CLONECLOUD /	PM-29-36 BANGLADESH AS THE NEXT GLOBAL BUSINESS PROCESS OUTSOURCING (BPO) DESTINATION: PROSPECTS, PROBLEMS AND RECOMMENDATIONS /	Next

A thesis submitted in fulfillment of the requirements for the award of the degree of M.Sc in Data Science and Business Analytics (UCMF1610DSBA).

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Asia Pacific University Library catalogue

ITEM-BASED COLLABORATIVE FILTERING RECOMMENDER SYSTEM AND SENTIMENT ANALYSIS OF THE REVIEWS / MUHAMMAD ASEEM UR REHMAN.

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