Empirical and experimental perspectives on big data in recommendation systems: a comprehensive survey
This survey paper provides a comprehensive analysis of big data algorithms in
recommendation systems, addressing the lack of depth and precision in existing literature. It …
recommendation systems, addressing the lack of depth and precision in existing literature. It …
KSTAR: a knowledge based approach for socially relevant term aggregation for web page recommendation
Recommendation System is a filtering technology used to compute an item's priority or rating
to the user. The recommender system is used to generate audio or video playlist for users in …
to the user. The recommender system is used to generate audio or video playlist for users in …
Automatic finding trapezoidal membership functions in mining fuzzy association rules based on learning automata
Association rule mining is an important data mining technique used for discovering
relationships among all data items. Membership functions have a significant impact on the …
relationships among all data items. Membership functions have a significant impact on the …
Smart health application for remote tracking of ambulatory patients
Summary The Internet of Things (IoT) has amalgam with many fields. One of these is the
eHealth monitoring of patients. mHealth monitoring is the most prominent subdomain of …
eHealth monitoring of patients. mHealth monitoring is the most prominent subdomain of …
Weighted association rule mining over unweighted databases using inter-item link based automated weighting scheme
Weighted association rule mining is an effective approach in discovering hidden
relationships among the important items in a transactional database. Weight of an item …
relationships among the important items in a transactional database. Weight of an item …
QGMS: a query growth model for personalization and diversification of semantic search based on differential ontology semantics using artificial intelligence
G Deepak, A Santhanavijayan - Computational intelligence, 2024 - Wiley Online Library
The inclusion of collective intelligence through a semantic focused affective computing can
incorporate intelligence to web search and ensure its compliance with the Web 3.0. In this …
incorporate intelligence to web search and ensure its compliance with the Web 3.0. In this …
Enhancing data-driven elderly appointment services in domestic care communities under COVID-19
Purpose Under the impact of Coronavirus disease 2019 (COVID-19), this paper contributes
in the deployment of the Artificial Intelligence of Things (AIoT)-based system, namely AIoT …
in the deployment of the Artificial Intelligence of Things (AIoT)-based system, namely AIoT …
Leveraging Hybrid Machine Learning Technique For Effective House Rental Price Forecasting
D Komalavalli, N Anbalagan… - … on Advances in …, 2024 - ieeexplore.ieee.org
These days, figuring out the house's sale price is crucial because both the land and the
house's prices rise annually. Therefore, the next generation needs a simple approach for …
house's prices rise annually. Therefore, the next generation needs a simple approach for …
Assisting users in decisions using fuzzy ontologies: Application in the wine market
Nowadays, wine has become a very popular item to purchase. There are a lot of brands and
a lot of different types of wines that have different prices and characteristics. Since there is a …
a lot of different types of wines that have different prices and characteristics. Since there is a …
Analysis of Ontology-Based Semantic Association Rule Mining
G Jeyakodi, PS Bala - Semantic Web Technologies, 2022 - api.taylorfrancis.com
Covid-19 pandemic builds the world towards digital transformation and all the organizations
generate a huge amount of data every day, among which hospitals and social media are …
generate a huge amount of data every day, among which hospitals and social media are …