Artificial intelligence in E-Commerce: a bibliometric study and literature review
This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …
guidelines on how information systems (IS) research could contribute to this research …
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 …
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
HJ Ahn - Information sciences, 2008 - Elsevier
Collaborative filtering is one of the most successful and widely used methods of automated
product recommendation in online stores. The most critical component of the method is the …
product recommendation in online stores. The most critical component of the method is the …
Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data
The recommender systems are recently becoming more significant in the age of rapid
development of the Internet technology due to their ability in making a decision to users on …
development of the Internet technology due to their ability in making a decision to users on …
A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges
Q Zhao, G Li, J Cai, MC Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In his blogs of 2012, Dr. Göte Nyman coined Internet of Behaviors (IoB). In his idea, people's
behaviors are very good predictors of their needs, and hence technology companies can …
behaviors are very good predictors of their needs, and hence technology companies can …
A survey of e-commerce recommender systems
K Wei, J Huang, S Fu - 2007 international conference on …, 2007 - ieeexplore.ieee.org
Various personal services in business play important roles in the success of current
marketing field. The personalized recommendation technique in recommender systems, one …
marketing field. The personalized recommendation technique in recommender systems, one …
RECON: a reciprocal recommender for online dating
The reciprocal recommender is a class of recommender system that is important for several
tasks where people are both the subjects and objects of the recommendation. Some …
tasks where people are both the subjects and objects of the recommendation. Some …
Opportunity model for e-commerce recommendation: right product; right time
Most of existing e-commerce recommender systems aim to recommend the right product to a
user, based on whether the user is likely to purchase or like a product. On the other hand …
user, based on whether the user is likely to purchase or like a product. On the other hand …
Analysis and classification of multi-criteria recommender systems
Recent studies have indicated that the application of Multi-Criteria Decision Making (MCDM)
methods in recommender systems has yet to be systematically explored. This observation …
methods in recommender systems has yet to be systematically explored. This observation …
Multidimensional social network in the social recommender system
All online sharing systems gather data that reflects users' collective behavior and their
shared activities. This data can be used to extract different kinds of relationships which can …
shared activities. This data can be used to extract different kinds of relationships which can …