A literature review and classification of recommender systems research
DH Park, HK Kim, IY Choi, JK Kim - Expert systems with applications, 2012 - Elsevier
Recommender systems have become an important research field since the emergence of
the first paper on collaborative filtering in the mid-1990s. Although academic research on …
the first paper on collaborative filtering in the mid-1990s. Although academic research on …
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 …
A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis
K Choi, D Yoo, G Kim, Y Suh - electronic commerce research and …, 2012 - Elsevier
Many online shopping malls in which explicit rating information is not available still have
difficulty in providing recommendation services using collaborative filtering (CF) techniques …
difficulty in providing recommendation services using collaborative filtering (CF) techniques …
A reliability-based recommendation method to improve trust-aware recommender systems
P Moradi, S Ahmadian - Expert Systems with Applications, 2015 - Elsevier
Recommender systems (RSs) are programs that apply knowledge discovery techniques to
make personalized recommendations for user's information on the web. In online sharing …
make personalized recommendations for user's information on the web. In online sharing …
A new similarity function for selecting neighbors for each target item in collaborative filtering
K Choi, Y Suh - Knowledge-Based Systems, 2013 - Elsevier
As one of the collaborative filtering (CF) techniques, memory-based CF technique which
recommends items to users based on rating information of like-minded users (called …
recommends items to users based on rating information of like-minded users (called …
A novel model for optimisation of logistics and manufacturing operation service composition in Cloud manufacturing system focusing on cloud-entropy
E Aghamohammadzadeh, M Malek… - International Journal of …, 2020 - Taylor & Francis
In recent years, economic globalisation and manufacturing resource globalisation as two
key factors have driven enterprises to transform their business processes to survive in …
key factors have driven enterprises to transform their business processes to survive in …
A method for discovering clusters of e-commerce interest patterns using click-stream data
Q Su, L Chen - electronic commerce research and applications, 2015 - Elsevier
Having a good understanding of users' interests has become increasingly important for
online retailers hoping to create a personalized service for a target market. Generally …
online retailers hoping to create a personalized service for a target market. Generally …
LISA: Lightweight context-aware IoT service architecture
Abstract Internet-of-Things (IoT) promises to provide services to the end users by connecting
physical things around them through Internet. The conventional services build for web are …
physical things around them through Internet. The conventional services build for web are …
Online learning in large-scale contextual recommender systems
In this paper, we propose a novel large-scale, context-aware recommender system that
provides accurate recommendations, scalability to a large number of diverse users and …
provides accurate recommendations, scalability to a large number of diverse users and …
Customer satisfaction of recommender system: Examining accuracy and diversity in several types of recommendation approaches
Information technology and the popularity of mobile devices allow for various types of
customer data, such as purchase history and behavior patterns, to be collected. As customer …
customer data, such as purchase history and behavior patterns, to be collected. As customer …