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Personalized movie recommender system

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dc.contributor.author Ashad Gillani, 01-134161-106
dc.contributor.author Kashif Mahmood, 01-134152-029
dc.date.accessioned 2020-12-28T06:31:22Z
dc.date.available 2020-12-28T06:31:22Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/123456789/10683
dc.description Supervised by Ms. Anum Kaleem en_US
dc.description.abstract The world has evolved in the field of science especially in the field of computer science and in the field of information technology. In the era of science, a million categories are available for just one thing. In this age where everything is on fingertips, yet one need to spare some time for some good things. Making order over the phone call and waiting for the shipment being delivered on the door step has been flee over the past few years as all is available on the internet where you just need to give keywords input and you will be having a thousand outputs. Among the given thousand outputs yet another step is which one is the best and the most reliable. Personalized recommendation system is a tool that helps users to find the content according to their interest. In case of Movie Recommender system, which is ever advancing with the time passing by, the aim for making a new Personalized Movie Recommender System is to let people have more with less possible cost and to have what they want. The goal of this project is to develop the fully functional application that helps the users to get the recommendation on all existing movies. Search preferences and priorities are also saved for the coming users to have what is most searched in one genre. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-8948
dc.subject Computer Science. en_US
dc.title Personalized movie recommender system en_US
dc.type Project Reports en_US


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