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To improve online search results, clarification questions can be used to elucidate the information need of the user.
1908
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Drosou, M., Pitoura, E.: Search result diversification. SIGMOD Rec. 39
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Santos, R.L., Macdonald, C., Ounis, I.: Exploiting query reformulations for web search result diversification. In: Proceedings of the 19th International Conference on World Wide Web. p. 881–890. WWW ’10, Association for Computing Machinery, New York, NY, USA (2010). https://doi.org/10.1145/1772690.1772780, https://doi.org/10.1145/1772690.1772780
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Lehmann, J., Lalmas, M., Yom-Tov, E., Dupret, G.: Models of user engagement. In: Masthoff, J., Mobasher, B., Desmarais, M.C., Nkambou, R. (eds.) User Modeling, Adaptation, and Personalization. pp. 164–175. Springer Berlin Heidelberg, Berlin, Heidelberg (2012)
2012
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Mitra, B., Shokouhi, M., Radlinski, F., Hofmann, K.: On user interactions with query auto-completion. In: Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval. p. 1055–1058. SIGIR ’14, Association for Computing Machinery, New York, NY, USA (2014). https://doi.org/10.1145/2600428.2609508, https://doi.org/10.1145/2600428.2609508
2014
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O’Brien, H., Cairns, P.: Why Engagement Matters: Cross-Disciplinary Perspectives and Innovations on User Engagement with Digital Media. Springer Publishing Company, Incorporated, 1st edn. (2016)
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Radlinski, F., Craswell, N.: A theoretical framework for conversational search. In: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval. p. 117–126. CHIIR ’17, Association for Computing Machinery, New York, NY, USA (2017). https://doi.org/10.1145/3020165.3020183, https://doi.org/10.1145/3020165.3020183
2017
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Krasakis, A.M., Aliannejadi, M., Voskarides, N., Kanoulas, E.: Analysing the effect of clarifying questions on document ranking in conversational search. Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval (Sep 2020). https://doi.org/10.1145/3409256.3409817, http://dx.doi.org/10.1145/3409256.3409817
2020
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Risch, J., Krestel, R.: Top comment or flop comment? predicting and explaining user engagement in online news discussions (2020)
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Rosset, C., Xiong, C., Song, X., Campos, D., Craswell, N., Tiwary, S., Bennett, P.: Leading conversational search by suggesting useful questions. In: The Web Conference 2020 (formerly WWW conference) (April 2020), https://www.microsoft.com/en-us/research/publication/leading-conversational-search-by-suggesting-useful-questions/
2020
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Straton, N., Mukkamala, R.R., Vatrapu, R.: Big social data analytics for public health: Predicting facebook post performance using artificial neural networks and deep learning. In: 2017 IEEE International Congress on Big Data (BigData Congress). pp. 89–96 (2017)
2017
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Kiesel, J., Bahrami, A., Stein, B., Anand, A., Hagen, M.: Toward voice query clarification. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. p. 1257–1260. SIGIR ’18, Association for Computing Machinery, New York, NY, USA (2018). https://doi.org/10.1145/3209978.3210160, https://doi.org/10.1145/3209978.3210160
2018
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Aliannejadi, M., Zamani, H., Crestani, F., Croft, W.B.: Asking clarifying questions in open-domain information-seeking conversations. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 475–484. SIGIR’19, Association for Computing Machinery, New York, NY, USA (2019). https://doi.org/10.1145/3331184.3331265, https://doi.org/10.1145/3331184.3331265
2019
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2020
Cited alongside, same era.
Zamani, H., Dumais, S., Craswell, N., Bennett, P., Lueck, G.: Generating clarifying questions for information retrieval. In: Proceedings of The Web Conference 2020. p. 418–428. WWW ’20, Association for Computing Machinery, New York, NY, USA (2020). https://doi.org/10.1145/3366423.3380126, https://doi.org/10.1145/3366423.3380126
2020
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2020
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2020
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Sekulić, I., Aliannejadi, M., Crestani, F.: User engagement prediction for clarification in search. In: Proceedings of the European Conference on Information Retrieval (ECIR) (2021)
2021
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