Relevance and ranking in online dating systems
[pdf][abstract][slides][data][software] Bendersky, M., Metzler, D., and Croft, W. "Parameterized Concept Weighting in Verbose Queries," in the Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), 2011.
A ranking is a relationship between a set of items such that, for any two items, the first is either 'ranked higher than', 'ranked lower than' or 'ranked equal to' the second.
"Systems and Methods for Query Expansion in Sponsored Search" United States Patent 8,521,731, August 27, 2013.
[full text] Balasubramanian, A., Balasubramanian, N., Huston, S., Metzler, D., and Wetherall, D.
In my dissertation work, I studied the relationship between document clustering and document scoring for retrieval using methods from machine learning and statistics.
As a result, I developed an algorithm for system self-assessment and self-tuning which significantly improves the performance of retrieval algorithms across a variety of corpora.
My research experience includes distributed information retrieval approaches to web search, interactive and faceted retrieval, mining of temporal patterns from news and query logs, cross-lingual information retrieval, graph-based retrieval methods, and exploiting information from multiple corpora.Detailed information can be found on my curriculum vitae.A recommender system or a recommendation system (sometimes replacing "system" with a synonym such as platform or engine) is a subclass of information filtering system that seeks to predict the "rating" or "preference" that a user would give to an item.While Pandora needs very little information to get started, it is far more limited in scope (for example, it can only make recommendations that are similar to the original seed).Broder, A., Gabrilovich, E., Josifovski, V., Metzler, D., Ridel, L., and Ciccolo, P.