… We investigate the use of association rule mining as an underlying technology for collaborative
… We describe a collaborative recommendation technique based on a new algorithm speci …

… we describe collaborative recommendation using an association rule mining technique
specially designed for this purpose. A significant feature and advantage of our mining technique …

… purchases per transaction in association rules, rather than … association rules mining. Then,
similarities between items based on their features were computed to make recommendations. …

… It also discusses the current collaborative recommendation … new adaptive-support algorithm
for mining association rules for … recommendations via association rules: user associations …

… environment using adaptive … rules with smaller data set of 10 students and 5 queries (multiple
runs), which is pretty small on MATLAB GUI environment using Associative Rule Mining (…

… Since in this research, the association rules mining technique is applied to identify similar
users, a brief explanation of this technique and several related research will be presented. …

… rules to alleviate those problems. In this algorithm, we build a model for preference
prediction by using association rule mining. Multi-level association rules are used to compute …

… and collaborative recommendation techniques. Collaborative recommendation technique
… involves algorithm of healthy association rule mining for Association Rule Mining. To obtain …

… to be adapted as … Association rule mining algorithms for inducing useful patterns from
users’ check-ins’ history. This proposal uses association rule mining algorithms to extract rules …

… Through the correlation analysis among learning interaction … potential association rules,
defines the data structures, mines … mining learning essential features, that can provide adaptive …