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ORCIDJiqun Liu
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2020 – today
- 2024
[j9]Tianji Jiang
, Jiqun Liu:
Reflection on future directions: a systematic review of reported limitations and solutions in interactive information retrieval user studies. Aslib J. Inf. Manag. 76(1): 104-131 (2024)- [j8]Ben Wang, Jiqun Liu:
Understanding users' dynamic perceptions of search gain and cost in sessions: An expectation confirmation model. J. Assoc. Inf. Sci. Technol. 75(9): 937-956 (2024) - [c37]Ben Wang, Jiqun Liu, Jamshed Karimnazarov, Nicolas Thompson:
Task Supportive and Personalized Human-Large Language Model Interaction: A User Study. CHIIR 2024: 370-375 - [c36]Leif Azzopardi, Jiqun Liu:
Search under Uncertainty: Cognitive Biases and Heuristics - Tutorial on Modeling Search Interaction using Behavioral Economics. CHIIR 2024: 427-430 - [c35]Ben Wang, Jiqun Liu:
Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics. ICTIR 2024: 227-237 - [c34]Jiqun Liu, Leif Azzopardi:
Search under Uncertainty: Cognitive Biases and Heuristics: A Tutorial on Testing, Mitigating and Accounting for Cognitive Biases in Search Experiments. SIGIR 2024: 3013-3016 - [i7]Ben Wang, Jiqun Liu, Jamshed Karimnazarov, Nicolas Thompson:
Task Supportive and Personalized Human-Large Language Model Interaction: A User Study. CoRR abs/2402.06170 (2024) - [i6]Ben Wang, Jiqun Liu:
Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Controversial Topics. CoRR abs/2403.17286 (2024) - [i5]Nuo Chen, Jiqun Liu, Hanpei Fang, Yuankai Luo, Tetsuya Sakai, Xiao-Ming Wu:
Decoy Effect In Search Interaction: Understanding User Behavior and Measuring System Vulnerability. CoRR abs/2403.18462 (2024) - [i4]Nuo Chen, Jiqun Liu, Xiaoyu Dong, Qijiong Liu, Tetsuya Sakai, Xiao-Ming Wu:
AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment. CoRR abs/2409.16022 (2024) - [i3]Jiaqi Lei, Liang Hu, Yi Bu, Jiqun Liu:
Understanding Teams and Productivity in Information Retrieval Research (2000-2018): Academia, Industry, and Cross-Community Collaborations. CoRR abs/2410.01541 (2024) - 2023
- [b2]Jiqun Liu:
A Behavioral Economics Approach to Interactive Information Retrieval - Understanding and Supporting Boundedly Rational Users. The Information Retrieval Series 48, Springer 2023, ISBN 978-3-031-23228-2, pp. 3-207 - [j7]Ben Wang, Jiqun Liu:
Investigating the role of in-situ user expectations in Web search. Inf. Process. Manag. 60(3): 103300 (2023) - [j6]Marco Markwald, Jiqun Liu, Ran Yu:
Constructing and meta-evaluating state-aware evaluation metrics for interactive search systems. Inf. Retr. J. 26(1): 10 (2023) - [c33]Jiqun Liu:
Toward A Two-Sided Fairness Framework in Search and Recommendation. CHIIR 2023: 236-246 - [c32]Nattapat Boonprakong, Gaole He, Ujwal Gadiraju, Niels van Berkel, Danding Wang, Si Chen, Jiqun Liu, Benjamin Tag, Jorge Gonçalves, Tilman Dingler:
Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration. CSCW Companion 2023: 512-517 - [c31]Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz:
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. EMNLP (Findings) 2023: 3609-3622 - [c30]Jiqun Liu, Fangyuan Han:
5 - 4 ≠ 4 - 3: On the Uneven Gaps between Different Levels of Graded User Satisfaction in Interactive Information Retrieval Evaluation. HICSS 2023: 4171-4180 - [c29]Jiaqi Lei, Yi Bu, Jiqun Liu:
Information Retrieval Research in Academia and Industry: A Preliminary Analysis of Productivity, Authorship, Impact, and Topic Distribution. iConference (2) 2023: 360-370 - [c28]Nuo Chen, Jiqun Liu, Tetsuya Sakai:
A Reference-Dependent Model for Web Search Evaluation: Understanding and Measuring the Experience of Boundedly Rational Users. WWW 2023: 3396-3405 - [e1]Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Edward C. Malthouse, Jon Atle Gulla, Anett Hoppe, Ran Yu, Jiqun Liu:
Joint Proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022) co-located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, July 15, 2022. CEUR Workshop Proceedings 3411, CEUR-WS.org 2023 [contents] - [i2]Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz:
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. CoRR abs/2310.16738 (2023) - [i1]Nuo Chen, Jiqun Liu, Tetsuya Sakai, Xiao-Ming Wu:
Decoy Effect in Search Interaction: A Pilot Study. CoRR abs/2311.02362 (2023) - 2022
- [j5]Jiqun Liu:
Toward Cranfield-inspired reusability assessment in interactive information retrieval evaluation. Inf. Process. Manag. 59(5): 103007 (2022) - [c27]Yong Ju Jung, Jiqun Liu:
Children's Interest, Search, and Knowledge: A Pilot Analysis of a STEM Maker Workshop. ASIST 2022: 720-722 - [c26]Ben Wang, Jiqun Liu:
Investigating the Relationship between In-Situ User Expectations and Web Search Behavior. ASIST 2022: 827-829 - [c25]Jiqun Liu, Chirag Shah:
Leveraging user interaction signals and task state information in adaptively optimizing usefulness-oriented search sessions. JCDL 2022: 23 - [c24]Tyler Brown, Jiqun Liu:
A reference dependence approach to enhancing early prediction of session behavior and satisfaction. JCDL 2022: 26 - [c23]Anett Hoppe, Ran Yu, Jiqun Liu:
Preface to IWILDS 2022. INRA/IWILDS@SIGIR 2022: 38-44 - [c22]Jiqun Liu, Fangyuan Han:
Matching Search Result Diversity with User Diversity Acceptance in Web Search Sessions. SIGIR 2022: 2473-2477 - [c21]Anett Hoppe, Ran Yu, Jiqun Liu:
IWILDS'22 - Third International Workshop on Investigating Learning During Web Search. SIGIR 2022: 3482-3484 - 2021
- [j4]Jiqun Liu:
Deconstructing search tasks in interactive information retrieval: A systematic review of task dimensions and predictors. Inf. Process. Manag. 58(3): 102522 (2021) - [c20]Ben Wang, Jiqun Liu:
Extracting the Implicit Search States from Explicit Behavioral Signals in Complex Search Tasks. ASIST 2021: 854-856 - [c19]Jiqun Liu, Yong Ju Jung:
Interest Development, Knowledge Learning, and Interactive IR: Toward a State-based Approach to Search as Learning. CHIIR 2021: 239-248 - [c18]Jiqun Liu, Ran Yu:
State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval. CIKM 2021: 3258-3262 - [c17]Anett Hoppe, Ran Yu, Irina R. Brich, Jiqun Liu:
IWILDS'21: Second International Workshop on Learning During Web Search. CIKM 2021: 4880-4881 - 2020
- [j3]Shawon Sarkar, Matthew Mitsui, Jiqun Liu, Chirag Shah:
Implicit information need as explicit problems, help, and behavioral signals. Inf. Process. Manag. 57(2): 102069 (2020) - [c16]Jiqun Liu, Shawon Sarkar, Chirag Shah:
Identifying and Predicting the States of Complex Search Tasks. CHIIR 2020: 193-202 - [c15]Jiqun Liu, Fangyuan Han:
Investigating Reference Dependence Effects on User Search Interaction and Satisfaction: A Behavioral Economics Perspective. SIGIR 2020: 1141-1150
2010 – 2019
- 2019
- [b1]Jiqun Liu, Chirag Shah:
Interactive IR User Study Design, Evaluation, and Reporting. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01191-7 - [j2]Jiqun Liu, Yiwei Wang, Soumik Mandal, Chirag Shah:
Exploring the immediate and short-term effects of peer advice and cognitive authority on Web search behavior. Inf. Process. Manag. 56(3): 1010-1025 (2019) - [c14]Jiqun Liu, Chirag Shah:
Proactive identification of query failure. ASIST 2019: 176-185 - [c13]Jiqun Liu, Matthew Mitsui, Nicholas J. Belkin, Chirag Shah:
Task, Information Seeking Intentions, and User Behavior: Toward A Multi-level Understanding of Web Search. CHIIR 2019: 123-132 - [c12]Jiqun Liu, Chirag Shah:
Investigating the Impacts of Expectation Disconfirmation on Web Search. CHIIR 2019: 319-323 - [c11]Jiqun Liu:
A Reference-Dependent Model of Search Evaluation. CHIIR 2019: 405-408 - [c10]Jiqun Liu:
Characterizing the Stages of Complex Tasks. SIGIR 2019: 1445 - 2018
- [c9]Matthew Mitsui, Jiqun Liu, Chirag Shah:
The Paradox of Personalization: Does Task Prediction Require Individualized Models? CHIIR 2018: 277-280 - [c8]Matthew Mitsui, Jiqun Liu, Chirag Shah:
Coagmento: Past, Present, and Future of an Individual and Collaborative Information Seeking Platform. CHIIR 2018: 325-328 - [c7]Yiwei Wang, Jiqun Liu, Soumik Mandal, Chirag Shah:
Persuasion by Peer or Expert for Web Search. CSCW Companion 2018: 225-228 - [c6]Matthew Mitsui, Jiqun Liu, Chirag Shah:
How Much is Too Much?: Whole Session vs. First Query Behaviors in Task Type Prediction. SIGIR 2018: 1141-1144 - 2017
- [j1]Jiqun Liu:
Toward a unified model of human information behavior: an equilibrium perspective. J. Documentation 73(4): 666-688 (2017) - [c5]Yiwei Wang, Jiqun Liu, Soumik Mandal, Chirag Shah:
Search successes and failures in query segments and search tasks: A field study. ASIST 2017: 436-445 - [c4]Chang Liu, Jiqun Liu, Yiming Wei:
Scroll up or down?: Using Wheel Activity as an Indicator of Browsing Strategy across Different Contextual Factors. CHIIR 2017: 333-336 - [c3]Matthew Mitsui, Jiqun Liu, Nicholas J. Belkin, Chirag Shah:
Predicting Information Seeking Intentions from Search Behaviors. SIGIR 2017: 1121-1124 - 2016
- [c2]Jiqun Liu, Yiwei Wang:
Information worth spreading: An exploration of information sharing from social q&a to other social media platforms. ASIST 2016: 1-5 - [c1]Biyang Yu, Ana Ndumu, Jiqun Liu, Zhenjia Fan:
E-inclusion or digital divide: An integrated model of digital inequality. ASIST 2016: 1-5
Coauthor Index
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last updated on 2024-11-11 22:22 CET by the dblp team
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