Recommendations Using Information from Multiple Association Rules: A Probabilistic Approach
Abstract
Business analytics has evolved from being a novelty used by a select few to an accepted facet of conducting business. Recommender systems form a critical component of the business analytics toolkit and, by enabling firms to effectively target customers with products and services, are helping alter the e-commerce landscape. A variety of methods exist for providing recommendations, with collaborative filtering, matrix factorization, and...
Paper Details
Title
Recommendations Using Information from Multiple Association Rules: A Probabilistic Approach
Published Date
Sep 1, 2015
Journal
Volume
26
Issue
3
Pages
532 - 551
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