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Association Rule Mining using Maximum Entropy
[article]
2015
arXiv
pre-print
Recommendations based on behavioral data may be faced with ambiguous statistical evidence. We consider the case of association rules, relevant e.g. for query and product recommendations. For example: Suppose that a customer belongs to categories A and B, each of which is known to have positive correlation with buying product C, how do we estimate the probability that she will buy product C? For rare terms or products there may not be enough data to directly produce such an estimate --- perhaps
arXiv:1501.02143v1
fatcat:zfbnapgaffdwhahhmd2jgwqnlq