@inproceedings{58f96971851448f0aaecce8e712a5366,
title = "Cosine Similarity Based Group Movie Recommendation Scheme Considering Privacy of Users",
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.",
author = "C. Tripti and R. Manoj and Rinsha, \{P. B.\} and Megha Suresh and Niya Jain and Tanya Sunish",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 13th International Conference on Applications and Techniques in Information Security, ATIS 2022 ; Conference date: 30-12-2022 Through 31-12-2022",
year = "2023",
doi = "10.1007/978-981-99-2264-2\_10",
language = "English",
isbn = "9789819922635",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "121--129",
editor = "Srikanth Prabhu and Pokhrel, \{Shiva Raj\} and Gang Li",
booktitle = "Applications and Techniques in Information Security - 13th International Conference, ATIS 2022, Revised Selected Papers",
address = "Germany",
}