| Title | : | Content Optimization |
| Speaker | : | Balaji Vasan Srinivasan (Adobe Research) |
| Details | : | Wed, 27 Sep, 2017 4:00 PM @ A M Turing Hall |
| Abstract: | : | In this talk, I will cover some of my research work in the space of content optimization. In the digital era, Enterprises are required to continuously engage with their online customers to maintain a brand presence. This requires the creation of quality and useful content to customers for engaging and attracting customers towards a brand. However, with the increase in the number of channels and personalization being the key, it is important for content writers to quickly create multiple variants and adapt them to their end customers. In this work, we have leveraged existing work on text summarization to create shorter variants. The reverse task of expanding a content is lesser studied, we formulate this as a constrained optimization problem and show the viability of the approach. Once multiple variants are created, we may adapt the message for different audiences by building the language preference model for the targeted audience. Speaker Bio : Balaji Vasan Srinivasan is a Senior Computer Scientist at the Adobe Research Big data Experience Labs, Bangalore, India. His research interests span the areas of natural language generation, knowledge harvesting, document classification, machine learning, social data analytics and high-performance computing. He finished his Ph.D. in Computer Science at the University of Maryland in September 2011, his thesis was on Scalable Learning Methods for Speaker Recognition and Geostatistics. Prior to that, he completed his M.S. in Electrical Engineering from University of Maryland in 2008 and B.E. in Electrical Engineering from Anna University (India) in 2006. His research experience also includes stints at National Institutes of Health, Bethesda, MD (May – Aug 2007) and Xerox Research Center, Webster, NY (May – Aug 2011). |
