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A Smart Media-Based Recommendation System

dc.contributor.authorOgbonna, Amanze Darlington
dc.date.accessioned2016-06-09T16:11:20Z
dc.date.available2016-06-09T16:11:20Z
dc.date.issued2014-12-15
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/123456789/401
dc.identifier.urihttp://library.aust.edu.ng:8080/xmlui/handle/123456789/401
dc.description.abstractSmart media devices such as: smartphones and tablets are getting more powerful, smarter, cheaper and hence more popular. Recommendation systems become very common in e-business and e-Commerce, for example: Amazon, Google, eBay, Facebook, etc. all are using recommendation systems to promote their business. Recommendation systems are rarely used in learning; however it can be very useful. The proposed project works as follow:  Send a learning query to sites, sources and repositories across the Web and gather relevant information through the use of recommendation system that filter all the useless or irrelevant materials off the main list of recommended items.  Filter result from other user’s preference using collaborative-filtering, having the current query in mind.  Use TFIDF for content-based filtering and ranking of the shortlisted pages or articles.  Present the shortlist based on their rank to the user of the system.en_US
dc.description.sponsorshipAUSTen_US
dc.language.isoenen_US
dc.subjectOgbonna Amanze Darlingtonen_US
dc.subjectProf. Mamadou Kaba Traoréen_US
dc.subject2014 Computer Scienceen_US
dc.subjectSystemsen_US
dc.subjectA Smart Media-Based Recommendation Systemen_US
dc.subjectSmart Media Devicesen_US
dc.titleA Smart Media-Based Recommendation Systemen_US
dc.typeThesisen_US


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  • Computer Science105

    This collection contains Computer Science Student's Theses from 2009-2022

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