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This paper proposed a personalized recommendation system model based on users and items. Then experiments were performed on the MovieLens-100K data set.
Jul 2, 2024 · Our study aims to explore a personalized hybrid recommendation system for English word learning. This paper begins with an analysis of the research status and ...
The current research on personalized recommendation algorithms mainly focused on improving recommendation accuracy, the lack of which leads to the frequent ...
In this paper, we study the problem of generating and visualizing personalized explanations for hybrid recommender systems, which incorporate many different ...
A personalized recommendation system model based on users and items is proposed based on the user's collaborative filtering algorithm to achieve good ...
Jul 20, 2020 · In this article, two basic recommendation algorithms based on CB method and CF method are combined to solve the problems in a single algorithm.
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Personalized Course Recommender System Based on Hybrid Approach
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This study presents a recommender system that will suggest and guide a learner in selecting the courses as per their requirement.
The research work proposed the hybrid collaborative filtering algorithm based on news recommendation. By improving correlation coefficient formula via adding ...
Jul 4, 2024 · Objective: This research attempted to explore the neuroprotective effect of choline and establish evidence for future dietary recommendations ...
A Personalized Hybrid Tourist Destination Recommendation System
thesai.org › Publications › ViewPaper
This research introduces a personalized hybrid tourist destination recommendation system tailored for the growing trend of independent travel.