Abstract
Personalized (mobile) devices are radically changing information access tools, with rich context allowing for far more powerful, personalized search. Rather than retrieving a “document” on the topic of a “query,” the rich contextual information allows for tailored search and recommendation, and solve user’s complex tasks by taking into account complex constraints, exploring options, and combining individual answers into a coherent whole. This paper reports on a RuSSIR 2015 course covering the challenges of contextual search and recommendation, with a concrete focus on the venue recommendation task as run as part of TREC 2012–2015. It consisted of both lectures and hands-on “hackathon” sessions with data derived from the TREC task.
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Notes
- 1.
GeoCLEF 2005–2008, see: http://www.clef-initiative.eu/track/geoclef.
- 2.
NTCIR 8–9, 2010–2011, see: http://metadata.berkeley.edu/NTCIR-GeoTime/.
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- 4.
See: http://trec.nist.gov/.
- 5.
The third session introduced the hackathon and the tools and data available for it, and will be discussed together with the outcome of the hackathon in the next section.
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- 7.
See: http://www.bing.com/.
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See: http://yandex.ru/.
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Acknowledgments
We are grateful to RuSSIR to cover the travel expenses of the first author. We are thankful to the 30 students that actively participated in the hackathon—we were deeply impressed by the amount of work and creative ideas that were tried within 48 hours!
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Kiseleva, J., Kamps, J., Clarke, C.L.A. (2016). Contextual Search and Exploration. In: Braslavski, P., et al. Information Retrieval. RuSSIR 2015. Communications in Computer and Information Science, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-319-41718-9_1
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