Some of my recommender and information retrieval systems research has been application-focused. I have led two particular application-driven projects.
Recommendation & Retrieval for Teachers
The LITERATE project seeks to help teachers more effectively locate current and authentic informational texts for use in their classrooms. For more details, see the project page.
2019. Supplementing Classroom Texts with Online Resources. At 2019 American Educational Research Association Conference., , , and .
2018. Supplementing Classroom Texts with Online Resources. At 2018 Annual Meeting of the Northwest Rocky Mountain Educational Research Association., , and .
2018. Retrieving and Recommending for the Classroom: Stakeholders, Objectives, Resources, and Users. In Proceedings of the ComplexRec 2018 Second Workshop on Recommendation in Complex Scenarios (ComplexRec '18), at RecSys 2018., , , and .
2018. Recommending Texts to Children with an Expert in the Loop. In Proceedings of the 2nd International Workshop on Children & Recommender Systems (KidRec '18), at IDC 2018. ., , and .
Context-Aware Help Search
While interning at Autodesk Research, I prototyped and studied a context-aware help search tool that would monitor the user's interactions with a software program and use the collected data to enhance searches for help resources on the web.
2011. Searching for Software Learning Resources Using Application Context. In Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology (UIST '11). ACM, pp. 195–204. . Acceptance rate: 25%. Cited 25 times., , , , and .
Searching for Research Papers
My first recommender systems research project was a research paper recommender. The key idea of this project was to blend graph ranking algorithms (such as HITS, SALSA, and PageRank) with a collaborative or content-based filter; our goal was to make a recommender that was particularly good at producing reading lists for junior researchers.
We did a small user study indicating some modest improvement from the addition of the graph ranking. While our overall research method was sound and implemented the high-level research pipeline that I recommend, the user study we conducted in this should not be used as the starting point for new studies. Much better user study methods are now available.