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Survey of different recommendation systems to improve the marketing strategies on e-commerce
V Sethi, RK Gujral - … on Machine Learning, Big Data, Cloud and …, 2022 - ieeexplore.ieee.org
Making accurate prediction by recommendation system is a great challenge now-a-day. Up
surging technology has led different applications and made customers as supreme for …
surging technology has led different applications and made customers as supreme for …
[PDF][PDF] An Optimized Feature Selection Method for E-Learning Recommender System Using Deep Neural Network based on Multilayer Perceptron.
PK Balasamy, K Athiyappagounder - International Journal of Intelligent …, 2022 - inass.org
An effective E-Learning system must identify learning content appropriate for the needs of
the specific learner from among the many sources of learning content available. The …
the specific learner from among the many sources of learning content available. The …
[HTML][HTML] “SeoulHouse2Vec”: An embedding-based collaborative filtering housing recommender system for analyzing housing preference
Housing preference is the subjective and relative preference of users toward housing
alternatives and studies in the field have been conducted to analyze the housing …
alternatives and studies in the field have been conducted to analyze the housing …
[HTML][HTML] A novel emotion-aware hybrid music recommendation method using deep neural network
S Wang, C Xu, AS Ding, Z Tang - Electronics, 2021 - mdpi.com
Emotion-aware music recommendations has gained increasing attention in recent years, as
music comes with the ability to regulate human emotions. Exploiting emotional information …
music comes with the ability to regulate human emotions. Exploiting emotional information …
Research on understanding the effect of deep learning on user preferences
Recommender systems are becoming more essential than ever as the data available online
is increasing manifold. The increasing data presents us with an opportunity to build complex …
is increasing manifold. The increasing data presents us with an opportunity to build complex …
An Effective Deep Learning based Recommender System with user and item embedding
The success of deep learning in a variety of fields has spurred a rush of desire to develop
new novel recommender systems. As a result, our research introduces new RecDNNing, a …
new novel recommender systems. As a result, our research introduces new RecDNNing, a …
Original Research Article LCNA-LSTM CNN based attention model for recommendation system to improve marketing strategies on e-commerce
E-commerce industries have grown at an unpredicted and unprecedented rate in the 21st
century, booming in the midst of the COVID-19 catastrophe and revolutionizing our way of …
century, booming in the midst of the COVID-19 catastrophe and revolutionizing our way of …
What do my users want? Leveraging users insights to improve recommender systems in eWOM communities.
eWOM (electronic word-of-mouth) communities not only help their users to gain insights
through the exchange of information about products, but also to make the right purchase …
through the exchange of information about products, but also to make the right purchase …
A long short-term memory deep learning framework for explainable recommendation
Due to the growing quantity of information available on the Web, recommender systems
have become crucial component for the success of online shop** stores. However, most …
have become crucial component for the success of online shop** stores. However, most …
User product recommendation system using KNN-means and singular value decomposition
S Akansha, GS Reddy… - … Conference on Disruptive …, 2022 - ieeexplore.ieee.org
In the course of our regular lives, each and every one of us frequently makes use of the e-
commerce websites in order to purchase a variety of goods. These results in a rising …
commerce websites in order to purchase a variety of goods. These results in a rising …