Presenting at the Industry Day at SIGIR 2016

Building a Self-Learning Search Engine: From Research to Business

Manos Tsagkias

10 December 2016
Keywords: conference, information retrieval, machine learning, industry day

"Building a Self-Learning Search Engine: From Research to Business" presented at SIGIR 2016 Industry Track. Pisa, Italy.

Figure 1. “Building a Self-Learning Search Engine: From Research to Business” presented at SIGIR 2016 Industry Track. Pisa, Italy.

This summer I was happy to be back at the Special Interest Group in Information Retrieval (SIGIR), this time, in Pisa, Italy. Last time I was at SIGIR was in Portland back in 2012, where I was presenting the work I did at Yahoo! Barcelona. SIGIR is the top international conference on search engines, and it’s always good fun to hear the latest developments and exchange new ideas.

This year I talked at the industry track where I shared my experiences from running a search startup in the Netherlands. I received positive feedback, and it was good to catch up with old friends and meet new people. If you want a short recap from the latest and greatest trends in search technology, read on my summary on 904Labs blog.

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    The vocabulary gap is still an open problem.

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    Update: My work at Yahoo! Research Labs resulted in a publication at SIGIR 2012 [1]; see [post] for the abstract(20120623-sigir2012-language-intent-models.md).

    References

    [1] Manos Tsagkias and Roi Blanco. 2012. Language intent models for inferring user browsing behavior. In Proceedings of the 35th international ACM SIGIR conference on research and development in information retrieval (SIGIR ‘12). Association for Computing Machinery, New York, NY, USA, 335–344. ACM Link. PDF

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