Mining product intention rules from transaction logs of an ecommerce portal
Ravi Chandra Jammalamadaka, Naren Chittar, Sanjay Ghatare · 2009
In this paper, we address the following problem: In the context of an ecommerce portal with product based inventory, predict the product p the user is interested, when he/she issues a query q. A viable solution to the above problem is necessary for e-commerce portals to a:) increase the relevance of their search results and b:) provide high quality recommendations. Higher quality search results and recommendations foster user purchases and thereby leading to increased revenue.