A Novel Deep Learning Approach Toward Efficient and Accurate Recommendation Using Improved Alternating Least Squares in Social Media
The increasing number of electronic transactions on the Internet has given rise to the design
of recommendation systems. The main objective of these systems is to give …
of recommendation systems. The main objective of these systems is to give …
Prediction of movie quality via adaptive voting classifier
Information retrieval from huge social web data is a challenging task for conventional search
engines. Recently, information filtering recommender systems may help to find movies …
engines. Recently, information filtering recommender systems may help to find movies …
A gamified word of mouth recommendation system for increasing customer purchase
M Hajarian, S Hemmati - … Conference on Smart City, Internet of …, 2020 - ieeexplore.ieee.org
Nowadays, gamification is implemented in different software applications to increase user
engagement. On the other hand, the recommendation systems have been around for a long …
engagement. On the other hand, the recommendation systems have been around for a long …
A hybrid user-item-based collaborative filtering model for e-commerce recommendations
G Chornous, I Nikolskyi, M Wyszyński… - Journal of International …, 2021 - ceeol.com
The COVID-19 pandemic deepened understanding of e-commerce as an extremely
promising sphere. Nowadays, even small businesses are widely using e-shops and e …
promising sphere. Nowadays, even small businesses are widely using e-shops and e …
Movie Recommendation using Web Crawling
In today's digital world, streaming platforms offer a vast array of movies, making it hard for
users to find content matching their preferences. This paper explores integrating real time …
users to find content matching their preferences. This paper explores integrating real time …
Leveraging Recommender Systems to Enhance Student-Industry Alignment in Industrial Placements
This study explored the use of recommender systems to streamline student placement for
industrial attachments. Traditional methods often restrict students to geographically limited …
industrial attachments. Traditional methods often restrict students to geographically limited …
Analysing user ratings for classifying online movie data using various classifiers to generate recommendations
With the tremendous growth of information available on the Web, there is a dire need of
classifying it for the ease of use and for the brisk accessibility. The classified data can be …
classifying it for the ease of use and for the brisk accessibility. The classified data can be …
Learning Analytics Software for Medical Students regarding Pregnancy Complications
The fast development of software for medicine caused the arise of new methods of learning
about illnesses and complications which appear during pregnancies. The curriculum has to …
about illnesses and complications which appear during pregnancies. The curriculum has to …
[PDF][PDF] Leveraging Recommender Systems to Enhance Student-Industry Alignment in Industrial Placements.
D Mulinge, J Kandiri - 2024 - researchgate.net
This study explored the use of recommender systems to streamline student placement for
industrial attachments. Traditional methods often restrict students to geographically limited …
industrial attachments. Traditional methods often restrict students to geographically limited …
[PDF][PDF] Komparasi Metode Decision Tree dan K-Means Clustering Dalam Mengatasi Masalah Cold-start Pengguna Baru
F Valentino, TB Adji, AE Permanasari - Seminar Nasional CITEE, 2017 - academia.edu
Penelitian domain sistem rekomendasi (RS) sedang popular saat ini. RS adalah teknologi
yang memungkinkan penggunanya untuk mendapatkan rekomendasi pribadi untuk item …
yang memungkinkan penggunanya untuk mendapatkan rekomendasi pribadi untuk item …