Interests

My research centers on issues of context and information access, broadly construed. By capturing and manipulating representations of context and content, we have built software that can augment a user's current activity with access to relevant information the system has previously captured, or discovered in large, heterogeneous repositories of information. We have built and studied systems that can (1) capture the expertise of users by observing their interactions with an application (2) proactively retrieve task-relevant information on behalf of the user (3) orchestrate collaboration and communication among users based on shared work contexts and (4) learn the preferences of individuals through implicit observations, synthesize these preferences, and deliver a personalized experience to a group.

I am currently serving as CTO and Director of Intellext, Inc.

Papers

Learning for Question Answering and Text Classification: Integrating Knowledge-Based and Statistical Techniques


Q&A: A System for the Capture, Organiation and Reuse of Expertise


Selecting Task-Relevant Sources for Just-in-Time Retrieval


Mining Navigation History for Recommendation


User Interactions with Everyday Applications as Context for Just-in-time Information Access


Beyond Similarity


Information access in context


Facilitating Opportunistic Communication by Tracking the Documents People Use


XLibris: An Automated Library Research Assistant


Flytrap: Intelligent Group Music Recommendation


Supporting Online Resource Discovery in the Context of Ongoing Tasks with Proactive Software Assistants


Clustering for Opportunistic Communication


Network Arts: Exposing Cultural Reality


Between Now and the Semantic Web


Affective Behaviors for Theatrical Agents


Creating Polite Agents: 5 Heuristics for User Experience Design


Context Transformations for Just-in-time Retrieval: Adapting the Watson System to User Needs