7k citations
- University of California, Santa BarbaraUS109 papers
- Microsoft Research (United Kingdom)GB47 papers
- ETH ZurichCH46 papers
- University of California, BerkeleyUS45 papers
- University of Maryland, College ParkUS43 papers
- Carnegie Mellon UniversityUS41 papers
- Stanford UniversityUS39 papers
- University of WashingtonUS36 papers
- Cornell UniversityUS32 papers
- Princeton UniversityUS31 papers
- California Institute of TechnologyUS28 papers
- Georgia Institute of TechnologyUS24 papers
Showing 2017 · cs.IRShow all
3 papers · 2 filters
cs.IR2017★ 2 cited
Neural Ranking Models with Multiple Document Fields
Hamed Zamani, Bhaskar Mitra, Xia Song +2
Deep neural networks have recently shown promise in the ad-hoc retrieval task. However, such models have often been based on one field of the document, for example considering docu…
cs.IR2017★ 70 cited
Auditing Search Engines for Differential Satisfaction Across Demographics
Rishabh Mehrotra, Ashton Anderson, Fernando Diaz +3
Many online services, such as search engines, social media platforms, and digital marketplaces, are advertised as being available to any user, regardless of their age, gender, or o…
cs.IR2017★ 2 cited
Luandri: a Clean Lua Interface to the Indri Search Engine
Bhaskar Mitra, Fernando Diaz, Nick Craswell
In recent years, the information retrieval (IR) community has witnessed the first successful applications of deep neural network models to short-text matching and ad-hoc retrieval.…