Survey on the objectives of recommender systems: Measures, solutions, evaluation methodology, and new perspectives
Recently, recommender systems have played an increasingly important role in a wide
variety of commercial applications to help users find favourite products. Research in the …
variety of commercial applications to help users find favourite products. Research in the …
OCA: ordered clustering-based algorithm for E-commerce recommendation system
The industry of e-commerce (EC) has become more popular and creates tremendous
business opportunities for many firms. Modern societies are gradually shifting towards …
business opportunities for many firms. Modern societies are gradually shifting towards …
An integrated recommender system for improved accuracy and aggregate diversity
Abstract Information explosion creates dilemma in finding preferred products from the digital
marketplaces. Thus, it is challenging for online companies to develop an efficient …
marketplaces. Thus, it is challenging for online companies to develop an efficient …
Arabic text clustering using improved clustering algorithms with dimensionality reduction
AK Sangaiah, AE Fakhry, M Abdel-Basset… - Cluster Computing, 2019 - Springer
Arabic Text document clustering is an important aspect for providing conjectural navigation
and browsing techniques by organizing massive amounts of data into a small number of …
and browsing techniques by organizing massive amounts of data into a small number of …
Differentially private user-based collaborative filtering recommendation based on k-means clustering
Collaborative filtering (CF) recommendation is well-known for its outstanding
recommendation performance, but previous researches showed that it could cause privacy …
recommendation performance, but previous researches showed that it could cause privacy …
A significance-based trust-aware recommendation approach
Trust-aware recommender systems have been widely used in recent years to improve the
performance of traditional collaborative filtering systems. A common assumption of existing …
performance of traditional collaborative filtering systems. A common assumption of existing …
A robust lane detection method based on hyperbolic model
W Li, F Qu, Y Wang, L Wang, Y Chen - Soft Computing, 2019 - Springer
Lane detection is an essential part of safety assurance in intelligent vehicle and advanced
driver assistance systems. Despite many methods having been proposed, there still remain …
driver assistance systems. Despite many methods having been proposed, there still remain …
Min max kurtosis distance based improved initial centroid selection approach of K-means clustering for big data mining on gene expression data
Genome clustering is one of the big data applications that identify the prognosis of terrifying
diseases and biological processes across enormous sets of genes. The K-Means (KM) …
diseases and biological processes across enormous sets of genes. The K-Means (KM) …
Context-category specific sequence aware point-of-interest recommender system with multi-gated recurrent unit
KU Kala, M Nandhini - Journal of Ambient Intelligence and Humanized …, 2019 - Springer
Abstract Point-Of-Interest (POI) Recommender Systems (RSs) have huge importance in
Location Based Social Networks (LBSNs) because of its effectiveness in assisting users to …
Location Based Social Networks (LBSNs) because of its effectiveness in assisting users to …
[PDF][PDF] Improved collaborative filtering personalized recommendation algorithm based on k-means clustering and weighted similarity on the reduced item space
J Huang, Z Jia, P Zuo - Mathematical Modelling and Control, 2023 - aimspress.com
* Correspondence: Email: jjjzzz0@ 163. com. Abstract: Collaborative filtering (CF) algorithm
is one of the most widely used recommendation algorithms in recommender systems …
is one of the most widely used recommendation algorithms in recommender systems …