Leveraging Hybrid Ensembling for Robust Movie Recommendations: A Comprehensive Approach

Sunkara, Rithvika and Jiyyani, Gangalakshmi and Mahapatro, Ajit and Cheruku, Joshna Priya and Krishna, Dasari Bhargav and Kumar, Nollu Hari Satish (2025) Leveraging Hybrid Ensembling for Robust Movie Recommendations: A Comprehensive Approach. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II.

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Abstract

In this paper, an improved hybrid movie recommender system based on content-based filtering (CBF), collaborative filtering and deep learning is presented. The approach has three sections; collection of data, pre-processing of data, and feature engineering performing operations such as developing pop

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 20:20
Last Modified: 16 Apr 2026 15:50
URI: http://eprints.eai.eu/id/eprint/60244

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