We measure the similarity between users based on movie rating data, classify users with similar movie preferences, and learn the consumption pattern of each ...

We measure the similarity between users based on movie rating data, classify users with similar movie preferences, and learn the consumption pattern of each ...

A key factor is the selection of similarity metrics to form groups. Most of the existing group recommender systems utilize traditional methods, ...

Jun 12, 2024 · User-based collaborative filtering finds users with similar tastes to the target user and recommends movies that those similar users like. Item- ...

Oct 25, 2023 · In this study, a new algorithm for recommending movies to viewers has been proposed. To do this, the suggested method employs data mining techniques.

In this paper, we first focus on how to identify users' preferences for movies by using a collaborative filtering algorithm to predict the users' movie ratings.

Mar 31, 2022 · A Hybrid Two-phase Group Recommender Framework (HTGF) that takes into consideration the possibility of users having simultaneous membership of multiple groups.

Apr 21, 2023 · The basic assumption of matrix factorization technology is that potential factors can depict the user's preferences and project characteristics.

Bibliographic details on Movie Recommendation based on User Similarity of Consumption Pattern Change.

Jul 23, 2024 · This paper investigates the creation of a sentiment analysis and cosine similarity-based movie recommendation system.