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@article{154853,
        author = {Amit Nandi and V Harsha Sai and Mohit Maity and Vinay Kumar A and Sridhar R},
        title = {Movie Recommendation System Using Hybrid Model},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {12},
        pages = {525-530},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154853},
        abstract = {In this era of fast emerging technologies and fast paced life, an individual pays a heavy toll everyday making them exhausted to continue the same the next day. In such scenario entertainment plays the role of life support. Entertainment is the tool which rejuvenates our lost energy and will to continue. There are many sources of entertainment, movie is one among them. For watching movies of our choice we make use of recommendation systems (RS), since manual searching of similar movies of our taste might take ample time sufficient enough to exhaust a user. Therefore, to further elevate the efficiency of movie recommendation systems, a hybrid model is needed. Hybrid approach can help getting the advantages from both content- based and collaborative filtering methods and eliminate their shortcomings as well.},
        keywords = {},
        month = {},
        }