Cosine Similarity Based Group Movie Recommendation Scheme Considering Privacy of Users

C. Tripti, R. Manoj, P. B. Rinsha, Megha Suresh, Niya Jain, Tanya Sunish

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationApplications and Techniques in Information Security - 13th International Conference, ATIS 2022, Revised Selected Papers
EditorsSrikanth Prabhu, Shiva Raj Pokhrel, Gang Li
PublisherSpringer Science and Business Media Deutschland GmbH
Pages121-129
Number of pages9
ISBN (Print)9789819922635
DOIs
Publication statusPublished - 2023
Event13th International Conference on Applications and Techniques in Information Security, ATIS 2022 - Manipal, India
Duration: 30-12-202231-12-2022

Publication series

NameCommunications in Computer and Information Science
Volume1804 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference13th International Conference on Applications and Techniques in Information Security, ATIS 2022
Country/TerritoryIndia
CityManipal
Period30-12-2231-12-22

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

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