<p>By <a href="https://www.linkedin.com/in/ashleywolf/">Ashley Wolf</a>, Open Source Program Manager, Verizon Media<br/></p><p>In this episode, <a href="https://www.linkedin.com/in/rosaliebartlett/">Rosalie Bartlett</a>, Sr. Open Source Community Manager, interviews <a href="https://www.linkedin.com/in/shaunak-mishra-16613a9/">Shaunak Mishra</a>, Sr. Research Scientist, Verizon Media. Shaunak discusses two papers he presented at Knowledge Discovery and Data Mining (KDD) - “<a href="https://dl.acm.org/doi/10.1145/3292500.3330753">Understanding Consumer Journey using Attention-based Recurrent Neural Networks</a>” and “<a href="https://arxiv.org/pdf/1909.00057.pdf">Learning from Multi-User Activity Trails for B2B Ad Targeting</a>”. <br/></p><p>Audio and transcript <a href="https://developer.yahoo.com/podcasts/779330779/">available here</a>.<br/></p><p>You can listen to this episode of Dash Open on <a href="https://podcasts.apple.com/us/podcast/dash-open-19-kdd-understanding-consumer-journey-using/id1446078348?i=1000468932624">iTunes</a>, <a href="https://soundcloud.com/ydn/dash-open-19-kdd-understanding-consumer-journey-using-attention-based-recurrent-neural-networks">SoundCloud</a>, and <a href="https://open.spotify.com/episode/4x6frBkJiAxciQ0Bc0MmWq">Spotify</a>.<br/></p>