Mehrotra, R; Awadallah, AH; Yilmaz, E; (2018) LearnIR: WSDM 2018 Workshop on Learning from User Interactions. In: Chang, Yi and Zhai, Chengxiang, (eds.) Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining. (pp. pp. 797-798). ACM: Marina Del Rey, CA, USA.

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Abstract

The WSDM 2018 Workshop on Learning from User Interactions (Learn-IR’18)was a full day workshop which took place on February 9, 2018 at Los Angeles, CA. The workshop wasa highly interactive that provided a forum for academic and industrial researchers working at the intersection of user understanding, search tasks, conversational IR and user interactions. The workshop was meant to provide an opportunity for people to present new work and early results, brainstorm different use cases, share best practices, and discuss the main challenges facing this line of research. The workshop drew contributions from both industry and academia, and included six accepted research contributions. Additionally, the workshop had three keynote speakers from well established industry as well as academic researchers. The workshop witnessed lively discussion and interaction among participants, and brought together a wide variety of related research under the broader umbrella of learning from user interactions. This report outlines the events of the workshop and summarizes the major outcomes. More information about the workshop is available at https://taskir.github.io/wsdm2018-learnIR-workshop/

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