European Conference on Information Retrieval (ECIR) is a annual European scientific conference around bhe topics of search engines, recommender systems, text analytics, user modeling, and evaluation. This year ECIR was held in Grenoble, France. With more than 250 attendants and 4 days packed with tutorials, workshops, research, and industry talks, it was a great place to be to get updated with the latest and greatest about search engines.
The theme of this year’s Industry Day was to bring lessons learned from industry to academia. What are differences when developing a research algorithm and when we bring to practice? These lessons could inspire and inform our fellow academics for the challenges practitioners face when bring these algorithms to production.
In my talk I touched upon a bunch of challenges we’ve faced at 904Labs and how we came about to solving them. Open questions revolve around online learning to rank algorithms, delayed feedback, design of new metrics to avoid embarassing results, and the importance of investing in an evaluation platform. At 904Labs we have come a long way and we have working answers for these questions, however, as these questions are particularly difficult to answer, I’ve invited people to drop me a note with ideas, if they are interested. I’ve already got some nice feedback, and I hope to see more research on these areas in the near future!
Below are some tweets from my talk.