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              <text>Demography-Based Hybrid Recommender System for Movie Recommendations</text>
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              <text>Cold start; Collaborative filtering; Content filtering; Demography filtering; SVDpp</text>
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              <text>Recommender systems have been explored with different research techniques including content-based filtering and collaborative filtering. The main issue is with the cold start problem of how recommendations have to be suggested to a new user in the platform. There is a need for a system which has the ability to recommend items similar to the users demographic category by considering the collaborative interactions of similar categories of users. The proposed hybrid model solves the cold start problem using collaborative, demography, and content-based approaches. The base algorithm for the hybrid model SVDpp produced a root mean squared error (RMSE) of 0.92 on the test data.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Raju B.K.; Ummesalma M.</text>
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              <text>Lecture Notes in Electrical Engineering, Vol-840, pp. 49-58.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-16-9012-9_5" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-16-9012-9_5&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128613560&amp;amp;doi=10.1007%2F978-981-16-9012-9_5&amp;amp;partnerID=40&amp;amp;md5=4ffd38778a771f14158bd2c8acacd2fe" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128613560&amp;amp;doi=10.1007%2f978-981-16-9012-9_5&amp;amp;partnerID=40&amp;amp;md5=4ffd38778a771f14158bd2c8acacd2fe&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 18761100; ISBN: 978-981169011-2</text>
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              <text>English</text>
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              <text>Raju B.K., Computer Science Department, Christ Deemed to be University, Bengaluru, Karnataka, India; Ummesalma M., Computer Science Department, Christ Deemed to be University, Bengaluru, Karnataka, India</text>
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