Social media recommender systems: review and open research issues
In recent years, different types of review systems have been developed with the
recommender system (RS). RSs are developed based on user textual reviews, ratings, and …
recommender system (RS). RSs are developed based on user textual reviews, ratings, and …
[HTML][HTML] A global perspective on the marketing mix across time and space
The marketing mix (MM) is an integral part of a firm's marketing strategy sitting at the nexus
between a company and the marketplace. As such, it evolves together with the marketplace …
between a company and the marketplace. As such, it evolves together with the marketplace …
Recommender systems survey
Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …
on demographic, content-based and collaborative filtering. Currently, these systems are …
Customer reviews analysis with deep neural networks for e-commerce recommender systems
BM Shoja, N Tabrizi - IEEE access, 2019 - ieeexplore.ieee.org
An essential prerequisite of an effective recommender system is providing helpful
information regarding users and items to generate high-quality recommendations. Written …
information regarding users and items to generate high-quality recommendations. Written …
Combining review-based collaborative filtering and matrix factorization: A solution to rating's sparsity problem
An important factor affecting the performance of collaborative filtering for recommendation
systems is the sparsity of the rating matrix caused by insufficient rating data. Improving the …
systems is the sparsity of the rating matrix caused by insufficient rating data. Improving the …
Social network and tag sources based augmenting collaborative recommender system
Recommender systems, which provide users with recommendations of content suited to
their needs, have received great attention in today's online business world. However, most …
their needs, have received great attention in today's online business world. However, most …
[HTML][HTML] Reimagining personalization in the physical store
The evolving landscape of physical retailing necessitates a reevaluation of personalization
approaches to meet existing market conditions and the demands of modern customers. In …
approaches to meet existing market conditions and the demands of modern customers. In …
A hybrid recommendation approach for a tourism system
Many current e-commerce systems provide personalization when their content is shown to
users. In this sense, recommender systems make personalized suggestions and provide …
users. In this sense, recommender systems make personalized suggestions and provide …
A collaborative filtering method for music recommendation using playing coefficients for artists and users
D Sánchez-Moreno, ABG González… - Expert Systems with …, 2016 - Elsevier
The great quantity of music content available online has increased interest in music
recommender systems. However, some important problems must be addressed in order to …
recommender systems. However, some important problems must be addressed in order to …
Web mining based framework for solving usual problems in recommender systems. A case study for movies׳ recommendation
Endowing web systems with efficient and reliable recommendation procedures is being the
target of intensive research in the last years. Numerous methods have been proposed to …
target of intensive research in the last years. Numerous methods have been proposed to …