Fetching the paper…
Reading the bibliography…
With large language models (LLMs), conversational search engines shift how users retrieve information from the web by enabling natural conversations to express their search intents over multiple turns.
Query recommendation using query logs in search engines,
R. Baeza-Yates, C. Hurtado, M. Mendoza, · 2004
Earlier work this paper cites.
Analysis of multiple query reformulations on the web: The interactive information retrieval context,
S. Y. Rieh, H. I. Xie, · 2005
Earlier work this paper cites.
2006
Earlier work this paper cites.
Patterns and transitions of query reformulation during web searching,
B. J. Jansen, M. Zhang, A. Spink, · 2007
Earlier work this paper cites.
Analyzing and evaluating query reformulation strategies in web search logs,
J. Huang, E. N. Efthimiadis, · 2009
Earlier work this paper cites.
Patterns of query reformulation during web searching,
B. J. Jansen, D. L. Booth, A. Spink, · 2009
Earlier work this paper cites.
Mining broad latent query aspects from search sessions,
X. Wang, D. Chakrabarti, K. Punera, · 2009
Earlier work this paper cites.
Query reformulation mining: models, patterns, and applications,
P. Boldi, F. Bonchi, C. Castillo, S. Vigna, · 2011
Earlier work this paper cites.
Large-scale validation and analysis of interleaved search evaluation,
O. Chapelle, T. Joachims, F. Radlinski, Y. Yue, · 2012
Earlier work this paper cites.
Leaving so soon? understanding and predicting web search abandonment rationales,
A. Diriye, R. White, G. Buscher, S. Dumais, · 2012
Earlier work this paper cites.
A comparative analysis of the information-seeking behavior of visually impaired and sighted searchers,
N. G. Sahib, A. Tombros, T. Stockman, · 2012
Earlier work this paper cites.
How do users respond to voice input errors? lexical and phonetic query reformulation in voice search,
J. Jiang, W. Jeng, D. He, · 2013
Earlier work this paper cites.
Automatic online evaluation of intelligent assistants,
J. Jiang, A. Hassan Awadallah, R. Jones, U. Ozertem, I. Zitouni, R. Gurunath Kulkarni, O. Z. Khan, · 2015
Earlier work this paper cites.
Online Evaluation for Information Retrieval,
K. Hofmann, L. Li, F. Radlinski, · 2016
Earlier work this paper cites.
Is exploratory search different? A comparison of information search behavior for exploratory and lookup tasks,
K. Athukorala, D. Głowacka, G. Jacucci, A. Oulasvirta, J. Vreeken, · 2016
Cited alongside, same era.
Exploring the relationships between search intentions and query reformulations,
E. Y. Rha, M. Mitsui, N. J. Belkin, C. Shah, · 2016
Cited alongside, same era.
A Theoretical Framework for Conversational Search,
F. Radlinski, N. Craswell, · 2017
Cited alongside, same era.
An exploration of reasons for query reformulations,
E. Y. Rha, W. Shi, N. J. Belkin, · 2017
Cited alongside, same era.
Patterns for How Users Overcome Obstacles in Voice User Interfaces,
C. Myers, A. Furqan, J. Nebolsky, K. Caro, J. Zhu, · 2018
Cited alongside, same era.
Analyzing and characterizing user intent in information-seeking conversations,
C. Qu, L. Yang, W. B. Croft, J. R. Trippas, Y. Zhang, M. Qiu, · 2018
An intent taxonomy for questions asked in web search,
B. B. Cambazoglu, L. Tavakoli, F. Scholer, M. Sanderson, B. Croft, · 2021
Later among the works it cites.
Evaluating mixed-initiative conversational search systems via user simulation,
I. Sekulić, M. Aliannejadi, F. Crestani, · 2022
Later among the works it cites.
2023
Later among the works it cites.
Llm-assisted content analysis: Using large language models to support deductive coding,
R. Chew, J. Bollenbacher, M. Wenger, J. Speer, A. Kim, · 2023
Later among the works it cites.
Supporting qualitative analysis with large language models: Combining codebook with gpt-3 for deductive coding,
Z. Xiao, X. Yuan, Q. V. Liao, R. Abdelghani, P.-Y. Oudeyer, · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Conceptualizing agent-human interactions during the conversational search process,
L. Azzopardi, M. Dubiel, M. Halvey, J. Dalton, · 2018
Cited alongside, same era.
Informing the Design of Spoken Conversational Search: Perspective Paper,
J. R. Trippas, D. Spina, L. Cavedon, H. Joho, M. Sanderson, · 2018
Cited alongside, same era.
Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems,
J. I. Choi, A. Ahmadvand, E. Agichtein, · 2019
Cited alongside, same era.
Qrfa: A data-driven model of information seeking dialogues,
S. Vakulenko, K. Revoredo, C. Di Ciccio, M. de Rijke, · 2019
Cited alongside, same era.
Resilient chatbots: Repair strategy preferences for conversational breakdowns,
Z. Ashktorab, M. Jain, Q. V. Liao, J. D. Weisz, · 2019
Cited alongside, same era.
Conversational Interfaces for Information Search,
Q. V. Liao, W. Geyer, M. Muller, Y. Khazaen, · 2020
Cited alongside, same era.
Later among the works it cites.
Exploiting simulated user feedback for conversational search: Ranking, rewriting, and beyond,
P. Owoicho, I. Sekulic, M. Aliannejadi, J. Dalton, F. Crestani, · 2023
Later among the works it cites.
Approximating online human evaluation of social chatbots with prompting,
E. Svikhnushina, P. Pu, · 2023
Later among the works it cites.
Usersimcrs: A user simulation toolkit for evaluating conversational recommender systems,
J. Afzali, A. M. Drzewiecki, K. Balog, S. Zhang, · 2023
Later among the works it cites.
Using large language models for qualitative analysis can introduce serious bias,
J. Ashwin, A. Chhabra, V. Rao, · 2023
Later among the works it cites.
Collabcoder: A gpt-powered workflow for collaborative qualitative analysis,
J. Gao, Y. Guo, T. J.-J. Li, S. T. Perrault, · 2023
Later among the works it cites.
2024
Closest in time.
Context-driven interactive query simulations based on generative large language models,
B. Engelmann, T. Breuer, J. I. Friese, P. Schaer, N. Fuhr, · 2024
Closest in time.
Beyond clicks: query reformulation as a predictor of search satisfaction,
A. Hassan, X. Shi, N. Craswell, B. Ramsey, · 2028
Closest in time.