[PDF][PDF] A comparative study of collaborative filtering in product recommendation

AA Patoulia, A Kiourtis… - Emerging Science …, 2023 - pdfs.semanticscholar.org
Product recommendation is considered a well-known technique for bringing customers and
products together. With applications in music, electronic shops, or almost any platform the …

Users' rating predictions using collaborating filtering based on users and items similarity measures

S Nudrat, HU Khan, S Iqbal, MM Talha… - Computational …, 2022 - Wiley Online Library
The social media has made the world a global world and we, in addition to, as part of
physical society, are now part of the virtual society as well. There has been the generation of …

An efficient algorithm for identifying (ℓ, d) motif from huge DNA datasets

MMD Masood, AR Arunarani, D Manjula… - Journal of Ambient …, 2021 - Springer
Abstract Discovering Transcription Factor Binding Sites (TFBS) has immense significance in
terms of developing techniques and evaluating regulatory processes in biological systems …

A micro-video recommendation system incorporating social connections

T Fang, B Wen, Y Li, K Song, X Lin - 2022 - researchsquare.com
With the increasing number of micro-video community applications, social media platforms
have started to attract more people through their built-in micro-video features. More and …

Web Page Ranking Based on Text Content and Link Information Using Data Mining Techniques

EQ Naamha, ME Abdulmunim - ARO-THE SCIENTIFIC …, 2024 - aro.koyauniversity.org
Thanks to the rapid expansion of the Internet, anyone can now access a vast array of
information online. However, as the volume of web content continues to grow exponentially …

User location and collaborative based recommender system using Naive Bayes classifier and UIR matrix

R Suguna, P Sathishkumar… - 2020 4th International …, 2020 - ieeexplore.ieee.org
The world is filled with information and getting the right information is a challenging task for
internet users and online buyers. Recommender system helps internet users to get their …

[PDF][PDF] Research Article Users' Rating Predictions Using Collaborating Filtering Based on Users and Items Similarity Measures

S Nudrat, HU Khan, S Iqbal, MM Talha, FK Alarfaj… - 2022 - academia.edu
Research Article Users’ Rating Predictions Using Collaborating Filtering Based on Users and
Items Similarity Measures Page 1 Research Article Users’ Rating Predictions Using Collaborating …

A Bibliometric Analysis and Science Mapping of Recommendation Systems Research from 1987 to 2022

O Olufunke, O Okuoyo - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
This paper presents a bibliometric analysis and science mapping study of recommendation
systems (RS) using VOSviewer and Bibliometrix-R package tools. The study analysed 9,232 …

Semantic Web Recommender System over Different Operating Platforms

HK Sharif, KHAA Faraj - UHD Journal of Science and …, 2022 - journals.uhd.edu.iq
Abstract Semantic-Web Recommender System (SWRS) evaluation over different operating
systems (OSs) used to facilitate and improve human electronic recommendation …

Item Trend Analysis Considering Social Network Data in Online Shopping Malls

S Park, D Choi, J Yoo, K Bok - The Journal of the Korea Contents …, 2020 - koreascience.kr
As consumers' consumption activities become more active due to the activation of online
shopping malls, companies are conducting item trend analyses to boost sales. The existing …