State of art and emerging trends on group recommender system: a comprehensive review

S Singhal, K Pal - International Journal of Multimedia Information …, 2024 - Springer
A group recommender system (GRS) generates suggestions for a group of individuals,
considering not only each person's preferences but also factors such as social dynamics …

[HTML][HTML] Detection of honey adulteration using machine learning

E Ahmed - PLOS Digital Health, 2024 - journals.plos.org
Honey adulteration is a growing concern due to its health benefits and high nutritional
content. Traditional methods like Melissopalynology are ineffective in detecting adulterated …

Student Performance Prediction Using Machine Learning Algorithms

E Ahmed - Applied Computational Intelligence and Soft …, 2024 - Wiley Online Library
Education is crucial for a productive life and providing necessary resources. With the advent
of technology like artificial intelligence, higher education institutions are incorporating …

Original Research Article Comparative analysis of collaborative filtering recommender system algorithms for e-commerce

K Saini, A Singh - Journal of Autonomous Intelligence, 2024 - jai.front-sci.com
Collaborative recommender systems are information filtering systems that seek to predict a
user's rating or preference for an item. They play a vital role in various business use cases …

Sistem Rekomendasi Collaborative Filtering Sebagai Upaya Peningkatan Perekonomian di Pasar Tradisional

HA Tambunan, JHP Sitorus - J-SAKTI (Jurnal Sains …, 2023 - ejurnal.tunasbangsa.ac.id
Pasar tradisional menghadapi tantangan signifikan dari pertumbuhan pasar modern dan
ecommerce, yang dapat menyebabkan penurunan daya tarik, kehilangan daya saing, dan …

Sistem Rekomendasi Pembelian Smartphone berbasis Algoritma K-Means dan Singular Value Decomposition

I Zuhdiansyah, A Luthfiarta - Jurnal Nasional Teknologi dan …, 2024 - teknosi.fti.unand.ac.id
Perkembangan teknologi informasi yang pesat, memberi dampak pada ketesedian
informasi yang berlimpah. Hal ini menjadikan suatu masalah yang disebut kelebihan …

Collaborative Filtering for Steam Games Recommendation

WE Lomanto, V Andrian, S Achmad… - 2023 5th International …, 2023 - ieeexplore.ieee.org
This research explores collaborative filtering with Singular Value Decomposition (SVD) and
Pearson correlation to provide game recommendations on the Steam digital distribution …

Book recommendation system using TF-IDF and cosine similarity

CG Reswara, J Nicolas, I Widyatama… - AIP Conference …, 2024 - pubs.aip.org
The number of new books that appear on the market makes it difficult for readers to find
books that meet their needs and desires. There are many new books every year. Sometimes …

An Approach to a Group Movie Recommender System using Matrix Factorization-based Collaborative Filtering

FA Darmawan, ZKA Baizal - JURNAL INFOTEL, 2024 - ejournal.ittelkom-pwt.ac.id
The growth of online movie streaming platforms has driven the demand for recommender
systems that are able to deal with the daunting challenge of users finding movies that match …

A proposed User-Based Approach for eBooks Recommendation Using a Weighted Nearest Neighbor Technique

AM Saleh, AY Taqa - Sinkron: jurnal dan penelitian teknik …, 2023 - jurnal.polgan.ac.id
Large book data stores were beneficial for our support systems but posed significant
challenges for useful information retrieval. This issue was resolved by collaboratively …