Abstract
The system that can recommend movies for individuals based on their interest has received high popularity. The schemes fail to provide recommendations for a family with people involving different age groups and different interests. Therefore a content based filtering scheme with cosine similarity based recommendation, considering interest of a group of people is proposed here. The system also ensures privacy of the users by generating hash code of the interest provided by the group. The proposed scheme performs well with a prediction accuracy of 83% for a maximum of four users with TMDB database.
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Tripti, C., Manoj, R., Rinsha, P.B., Suresh, M., Jain, N., Sunish, T. (2023). Cosine Similarity Based Group Movie Recommendation Scheme Considering Privacy of Users. In: Prabhu, S., Pokhrel, S.R., Li, G. (eds) Applications and Techniques in Information Security . ATIS 2022. Communications in Computer and Information Science, vol 1804. Springer, Singapore. https://doi.org/10.1007/978-981-99-2264-2_10
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DOI: https://doi.org/10.1007/978-981-99-2264-2_10
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