Electronic commerce has a strong connection with recommendation processes. There are various forms of recommendations, ranging from virtual assistants to online suggestions …
Artificial intelligence has the potential to revolutionize disease diagnosis, classification, and identification. However, the implementation of clinical-decision support algorithms for …
N Wang - Scientific Programming, 2021 - Wiley Online Library
Aiming to solve the problem that ideological and political education courses in universities are not targeted enough and cannot form personalized recommendations, this paper …
MDR Hasan, J Ferdous - Journal of Computer Science and …, 2024 - al-kindipublisher.com
This research explored movie recommendation systems based on predicting top-rated and suitable movies for users. This research proposed a hybrid movie recommendation system …
Machine learning-driven recommendation systems are widely used in today's growing digital world. Existing movie and book recommender systems work using a collaborative …
Twitter is a news and social networking site where people around the world post their blogs and share their feeling, point of view, and comments regarding any communication or about …
Recommender System is a information filtering tool to filter the relevant information from given information in the present era of big data. Movie Recommender System is machine …
S Airen, J Agrawal - National Academy Science Letters, 2022 - Springer
Abstract Information overload is a major problem for many internet users which occurs due to overwhelming amounts of data made available to a user. In order to deal with this problem …
The biggest wish of the e-commerce industry is to forecast and estimate the taste and repugnance of users by utilizing user ratings for various products. Chaotic users' feedback …