A survey on session-based recommender systems
Recommender systems (RSs) have been playing an increasingly important role for informed
consumption, services, and decision-making in the overloaded information era and digitized …
consumption, services, and decision-making in the overloaded information era and digitized …
Application of data mining techniques in customer relationship management: A literature review and classification
Despite the importance of data mining techniques to customer relationship management
(CRM), there is a lack of a comprehensive literature review and a classification scheme for it …
(CRM), there is a lack of a comprehensive literature review and a classification scheme for it …
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
This paper presents an overview of the field of recommender systems and describes the
current generation of recommendation methods that are usually classified into the following …
current generation of recommendation methods that are usually classified into the following …
[BOOK][B] E-commerce 2019: Business, technology, society
KC Laudon, CG Traver - 2020 - thuvienso.hoasen.edu.vn
This book provides readers with a deep dive into the field of e-commerce. Authors Laudon
and Traver focus on the most important concepts, terms, and empirical data to help give a …
and Traver focus on the most important concepts, terms, and empirical data to help give a …
Incorporating contextual information in recommender systems using a multidimensional approach
The article presents a multidimensional (MD) approach to recommender systems that can
provide recommendations based on additional contextual information besides the typical …
provide recommendations based on additional contextual information besides the typical …
A survey of user profiling: State-of-the-art, challenges, and solutions
Advancements in information and communication technology, and online web users have
given attention to the virtual representation of each user, which is crucial for effective service …
given attention to the virtual representation of each user, which is crucial for effective service …
Towards cognitive recommender systems
Intelligence is the ability to learn from experience and use domain experts' knowledge to
adapt to new situations. In this context, an intelligent Recommender System should be able …
adapt to new situations. In this context, an intelligent Recommender System should be able …
Application of Web usage mining and product taxonomy to collaborative recommendations in e-commerce
The rapid growth of e-commerce has caused product overload where customers on the Web
are no longer able to effectively choose the products they are exposed to. To overcome the …
are no longer able to effectively choose the products they are exposed to. To overcome the …
On scalability of association-rule-based recommendation: A unified distributed-computing framework
The association-rule-based approach is one of the most common technologies for building
recommender systems and it has been extensively adopted for commercial use. A variety of …
recommender systems and it has been extensively adopted for commercial use. A variety of …
Using data mining methods to build customer profiles
Using data mining methods to build customer profiles Page 1 0018-9162/01/$10.00 © 2001
IEEE 74 Computer Using Data Mining Methods to Build Customer Profiles Personalization—the …
IEEE 74 Computer Using Data Mining Methods to Build Customer Profiles Personalization—the …