Online Search: Modeling information seeking on digital platforms

Through this set of projects we try to analyze large scale data on anonymized search logs understand how users search for information online to accomplish specific tasks. Re-visiting online search through the lens of search tasks lets search engines perform better personalization, ad targeting and task-aware ranking of search results.

Relevant projects/papers:
1. Deconstructing Complex Search Tasks: A Bayesian Nonparametric Approach for Extracting Sub-tasks, with Rishabh Mehrotra and Emine Yilmaz
2. Sessions, Tasks & Topics - Uncovering Behavioral Heterogeneities in Online Search Behavior, with Rishabh Mehrotra and Emine Yilmaz
3. The Information Network: Exploiting Causal Dependencies in Online Information Seeking, with Rishabh Mehrotra
4. Characterizing Users’ Multi-Tasking Behavior in Web Search, with Rishabh Mehrotra and Emine Yilmaz