Context Aware Recommendation Systems: A review of the state of the art techniques
S Kulkarni, SF Rodd - Computer Science Review, 2020 - Elsevier
Recommendation systems are gaining increasing popularity in many application areas like
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …
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 …
Movie recommendation system using sentiment analysis from microblogging data
Recommendation systems (RSs) have garnered immense interest for applications in e-
commerce and digital media. Traditional approaches in RSs include such as collaborative …
commerce and digital media. Traditional approaches in RSs include such as collaborative …
Intelligent recommender system based on unsupervised machine learning and demographic attributes
A Yassine, L Mohamed, M Al Achhab - Simulation Modelling Practice and …, 2021 - Elsevier
Recommendation systems aim to predict users interests and recommend items most likely to
interest them. In this paper, we propose a new intelligent recommender system that …
interest them. In this paper, we propose a new intelligent recommender system that …
DNN-MF: Deep neural network matrix factorization approach for filtering information in multi-criteria recommender systems
BB Sinha, R Dhanalakshmi - Neural Computing and Applications, 2022 - Springer
Personalization systems have proved to be one of the most powerful tools for e-commerce
sites, assisting users in discovering the most relevant products across enormous product …
sites, assisting users in discovering the most relevant products across enormous product …
A two-stage personalized recommendation based on multi-objective teaching–learning-based optimization with decomposition
F Zou, D Chen, Q Xu, Z Jiang, J Kang - Neurocomputing, 2021 - Elsevier
Due to its successful application in information filtering and knowledge retrieval systems in
the era of big data, personalized recommender system plays a significant role in meeting …
the era of big data, personalized recommender system plays a significant role in meeting …
A survey of recommendation systems
Today's internet is able to discover almost any product or piece of information. The large
amounts of unfiltered information returned by an internet query calls for filters able to …
amounts of unfiltered information returned by an internet query calls for filters able to …
A hybrid recommendation system of upcoming movies using sentiment analysis of youtube trailer reviews
Movies are one of the integral components of our everyday entertainment. In today's world,
people prefer to watch movies on their personal devices. Many movies are available on all …
people prefer to watch movies on their personal devices. Many movies are available on all …
A new recommendation system using map-reduce-based tournament empowered Whale optimization algorithm
AK Tripathi, H Mittal, P Saxena, S Gupta - Complex & Intelligent Systems, 2021 - Springer
In the era of Web 2.0, the data are growing immensely and is assisting E-commerce
websites for better decision-making. Collaborative filtering, one of the prominent …
websites for better decision-making. Collaborative filtering, one of the prominent …
The state-of-the-art and challenges on recommendation system's: principle, techniques and evaluation strategy
In this digital era, users and service providers are facing various decisions that prompt data
over-burden. The choices should be separated and focused on or altered so that the actual …
over-burden. The choices should be separated and focused on or altered so that the actual …