33 citations · 79 across the 35 of their papers we have counts for
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cs.IR2013★ 1 cited
Mining top-k granular association rules for recommendation
Fan Min, William Zhu
Recommender systems are important for e-commerce companies as well as researchers. Recently, granular association rules have been proposed for cold-start recommendation. However, e…
cs.IR2013★ 2 cited
Cold-start recommendation through granular association rules
Fan Min, William Zhu
Recommender systems are popular in e-commerce as they suggest items of interest to users. Researchers have addressed the cold-start problem where either the user or the item is new…
cs.IR2013
Granular association rules for multi-valued data
Fan Min, William Zhu
Granular association rule is a new approach to reveal patterns hide in many-to-many relationships of relational databases. Different types of data such as nominal, numeric and mult…