Designate Speculate Rapid Reviewers for Successful Product Marketing in Online Websites

Abstract

In today developed world, every minute, people around the globe express themselves via various platforms on the Web. And in every minute a mass amount of unstructured data is generated. We find that users with long-term purchasing intent tend to save and click through on more content. However, as users approach the time of purchase their activity becomes more topically focused and actions shift from saves to searches. We propose a novel Long-Short Demands-aware Model (LSDM), in which both user’s interests towards items and user’s demands over time are incorporated.  We create different clusters to group the successive product purchases together according to different time spans, and use recurrent neural networks to model each sequence of clusters at a time scale.