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2020 – today
- 2024
[j66]Sahil Verma
, Varich Boonsanong, Minh Hoang, Keegan Hines, John Dickerson, Chirag Shah:
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review. ACM Comput. Surv. 56(12): 312:1-312:42 (2024)- [j65]Chirag Shah, Emily M. Bender:
Envisioning Information Access Systems: What Makes for Good Tools and a Healthy Web? ACM Trans. Web 18(3): 33:1-33:24 (2024) - [c154]Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi:
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. ACL (Findings) 2024: 14996-15014 - [c153]Maryam Amirizaniani, Elias Martin, Maryna Sivachenko, Afra Mashhadi, Chirag Shah:
Can LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions. CIKM 2024: 34-44 - [c152]Maryam Amirizaniani, Elias Martin, Tanya Roosta, Aman Chadha, Chirag Shah:
AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach. CIKM 2024: 5174-5179 - [c151]Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan, YoungMin Kim, Tanya Roosta, Aman Chadha, Chirag Shah:
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs. EMNLP (Findings) 2024: 13613-13627 - [c150]Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan:
TnT-LLM: Text Mining at Scale with Large Language Models. KDD 2024: 5836-5847 - [i32]Chirag Shah:
From Prompt Engineering to Prompt Science With Human in the Loop. CoRR abs/2401.04122 (2024) - [i31]Maryam Amirizaniani, Tanya Roosta, Aman Chadha, Chirag Shah:
AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach. CoRR abs/2402.09334 (2024) - [i30]Maryam Amirizaniani, Jihan Yao, Adrian Lavergne, Elizabeth Snell Okada, Aman Chadha, Tanya Roosta, Chirag Shah:
Developing a Framework for Auditing Large Language Models Using Human-in-the-Loop. CoRR abs/2402.09346 (2024) - [i29]Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan, YoungMin Kim, Tanya Roosta, Aman Chadha, Chirag Shah:
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs. CoRR abs/2403.09724 (2024) - [i28]Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan:
TnT-LLM: Text Mining at Scale with Large Language Models. CoRR abs/2403.12173 (2024) - [i27]Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang:
The Use of Generative Search Engines for Knowledge Work and Complex Tasks. CoRR abs/2404.04268 (2024) - [i26]Kirandeep Kaur, Chirag Shah:
Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations. CoRR abs/2405.00824 (2024) - [i25]Chirag Shah, Ryen W. White:
Panmodal Information Interaction. CoRR abs/2405.12923 (2024) - [i24]Maryam Amirizaniani, Elias Martin, Maryna Sivachenko, Afra Mashhadi, Chirag Shah:
Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses. CoRR abs/2406.05659 (2024) - [i23]Julia Kharchenko, Tanya Roosta, Aman Chadha, Chirag Shah:
How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions. CoRR abs/2406.14805 (2024) - [i22]Ruoxi Shang, Gary Hsieh, Chirag Shah:
Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust. CoRR abs/2408.05354 (2024) - [i21]Sahil Verma, Royi Rassin, Arnav Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff A. Bilmes, Hannaneh Hajishirzi, Yanai Elazar:
How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold. CoRR abs/2410.15002 (2024) - 2023
- [j64]Chirag Shah:
The past, the present, and the future of information and data sciences: A pragmatic view. Data Inf. Manag. 7(1): 100028 (2023) - [j63]Yin Zhang, Dan Wu, Loni Hagen, Il-Yeol Song, Javed Mostafa, Sam Gyun Oh, Theresa D. Anderson, Chirag Shah, Bradley Wade Bishop, Frank Hopfgartner, Kai Eckert, Lisa Federer, Jeffrey S. Saltz:
Data science curriculum in the iField. J. Assoc. Inf. Sci. Technol. 74(6): 641-662 (2023) - [j62]Mark Sanderson, Ramon Lobato, Kieran Hegarty, Lisa M. Given, Chirag Shah:
Report on The Web Search Revolution: Symposium. SIGIR Forum 57(2): 14:1-14:10 (2023) - [j61]Chirag Shah, Ryen W. White:
Report on the 1st Workshop on Task Focused IR in the Era of Generative AI. SIGIR Forum 57(2): 20:1-20:8 (2023) - [c149]Chirag Shah, Ryen White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin:
Taking Search to Task. CHIIR 2023: 1-13 - [c148]Shawon Sarkar, Maryam Amirizaniani, Chirag Shah:
Representing Tasks with a Graph-Based Method for Supporting Users in Complex Search Tasks. CHIIR 2023: 378-382 - [c147]Chirag Shah:
Generative AI and the Future of Information Access. CIKM 2023: 3 - [c146]Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah:
RecRec: Algorithmic Recourse for Recommender Systems. CIKM 2023: 4325-4329 - [c145]Preetam Prabhu Srikar Dammu, Yunhe Feng, Chirag Shah:
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. IJCAI 2023: 5941-5949 - [c144]Souvick Ghosh, Satanu Ghosh, Chirag Shah:
Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks. JCDL 2023: 119-131 - [c143]Lizi Liao, Grace Hui Yang, Chirag Shah:
Proactive Conversational Agents in the Post-ChatGPT World. SIGIR 2023: 3452-3455 - [c142]Shawon Sarkar, Chirag Shah:
A Synthetic Search Session Generator for Task-Aware Information Seeking and Retrieval. WSDM 2023: 1156-1159 - [c141]Lizi Liao, Grace Hui Yang, Chirag Shah:
Proactive Conversational Agents. WSDM 2023: 1244-1247 - [i20]Chirag Shah, Ryen W. White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin:
Taking Search to Task. CoRR abs/2301.05046 (2023) - [i19]Souvick Ghosh, Satanu Ghosh, Chirag Shah:
Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks. CoRR abs/2305.04858 (2023) - [i18]Muhammad Rahman, Sachi Figliolini, Joyce Kim, Eivy Cedeno, Charles Kleier, Chirag Shah, Aman Chadha:
Artificial Intelligence in Career Counseling: A Test Case with ResumAI. CoRR abs/2308.14301 (2023) - [i17]Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah:
RecRec: Algorithmic Recourse for Recommender Systems. CoRR abs/2308.14916 (2023) - [i16]Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi:
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. CoRR abs/2309.08827 (2023) - [i15]Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Leijie Wang, Longqi Yang:
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. CoRR abs/2309.13063 (2023) - [i14]Preetam Prabhu Srikar Dammu, Yunhe Feng, Chirag Shah:
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. CoRR abs/2310.19986 (2023) - [i13]Preetam Prabhu Srikar Dammu, Chirag Shah:
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification. CoRR abs/2311.01655 (2023) - [i12]Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes:
Effective Backdoor Mitigation Depends on the Pre-training Objective. CoRR abs/2311.14948 (2023) - 2022
- [j60]Yunhe Feng, Chirag Shah:
Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events. Inf. Process. Manag. 59(2): 102811 (2022) - [j59]Yiwei Wang, Chirag Shah:
Authentic versus synthetic: An investigation of the influences of study settings and task configurations on search behaviors. J. Assoc. Inf. Sci. Technol. 73(3): 362-375 (2022) - [j58]Ruoyuan Gao, Yingqiang Ge, Chirag Shah:
FAIR: Fairness-aware information retrieval evaluation. J. Assoc. Inf. Sci. Technol. 73(10): 1461-1473 (2022) - [j57]Dongho Choi, Chirag Shah, Vivek K. Singh:
Investigating information seeking in physical and online environments with escape room and web search. J. Inf. Sci. 48(4): 570-583 (2022) - [c140]Yunhe Feng, Chirag Shah:
Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search. AAAI 2022: 11882-11890 - [c139]Miyoung Chong, Chirag Shah, Kai Shu, Jiangen He, Loni Hagen:
Delving into Data Science Methods in Response to the COVID -19 Infodemic. ASIST 2022: 555-558 - [c138]Abebe Rorissa, Blessing Mawire, Chirag Shah, Diane H. Sonnenwald, Emad Khazaree, Aylin Imeri, Imane Hilal:
Professional Development in Crisis: Toward Resilient Society. ASIST 2022: 598-600 - [c137]Chirag Shah, Emily M. Bender:
Situating Search. CHIIR 2022: 221-232 - [c136]Ruoxi Shang, K. J. Kevin Feng, Chirag Shah:
Why Am I Not Seeing It? Understanding Users' Needs for Counterfactual Explanations in Everyday Recommendations. FAccT 2022: 1330-1340 - [c135]Jiqun Liu, Chirag Shah:
Leveraging user interaction signals and task state information in adaptively optimizing usefulness-oriented search sessions. JCDL 2022: 23 - [c134]Chirag Shah, Stefan Bosse, Carolin Zinn, Axel von Hehl:
Optimization of Non-destructive Damage Detection of Hidden Damages in Fiber Metal Laminates Using X-ray Tomography and Machine Learning Algorithms. SYSINT 2022: 387-402 - [c133]Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah:
ExpScore: Learning Metrics for Recommendation Explanation. WWW 2022: 3740-3744 - [i11]Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah:
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. CoRR abs/2208.08017 (2022) - [i10]Bingbing Wen, Xiaoning Bu, Chirag Shah:
EGCR: Explanation Generation for Conversational Recommendation. CoRR abs/2208.08035 (2022) - 2021
- [b5]Chirag Shah, Ryen W. White:
Task Intelligence for Search and Recommendation. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2021, ISBN 978-3-031-01198-6, pp. 1-160 - [j56]Soumik Mandal, Chirag Shah, Stephanie Peña-Alves, Michael L. Hecht, Shannon D. Glenn, Anne E. Ray, Kathryn Greene:
Understanding the spread of prevention and cessation messages on social media for substance use in youth. Aslib J. Inf. Manag. 73(2): 240-253 (2021) - [j55]Satyajit Ghosh, Yash Dugar, Namrata Kakoti, Chirag Shah:
Quantifying wind-driven rain on a heritage facade through computational fluid dynamics. Int. J. Comput. Aided Eng. Technol. 14(1): 27-38 (2021) - [j54]Chirag Shah, Theresa D. Anderson, Loni Hagen, Yin Zhang:
An iSchool approach to data science: Human-centered, socially responsible, and context-driven. J. Assoc. Inf. Sci. Technol. 72(6): 793-796 (2021) - [j53]Chirag Shah, Torsten Suel, Fernando Diaz, Bhaskar Mitra, Bárbara Poblete, Hussein Suleman, Suzan Verberne:
Report on the 44th international ACM SIGIR conference on research and development in information retrieval (SIGIR 2021). SIGIR Forum 55(2): 8:1-8:14 (2021) - [c132]Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah:
Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features. BIAS 2021: 1-8 - [c131]Bin Han, Chirag Shah, Daniel Saelid:
Users' Perception of Search-Engine Biases and Satisfaction. BIAS 2021: 14-24 - [c130]Chirag Shah, Ryen W. White:
Bridging Task Expressions and Search Queries. CHIIR 2021: 319-323 - [c129]Shawon Sarkar, Chirag Shah:
An Integrated Model of Task, Information Needs, Sources and Uncertainty to Design Task-Aware Search Systems. ICTIR 2021: 83-92 - [c128]Ruoyuan Gao, Chirag Shah:
Addressing Bias and Fairness in Search Systems. SIGIR 2021: 2643-2646 - [e3]Fernando Diaz, Chirag Shah, Torsten Suel, Pablo Castells, Rosie Jones, Tetsuya Sakai:
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021. ACM 2021, ISBN 978-1-4503-8037-9 [contents] - [i9]Bin Han, Chirag Shah, Daniel Saelid:
Users' Perception of Search Engine Biases and Satisfaction. CoRR abs/2105.02898 (2021) - [i8]Ruoyuan Gao, Yingqiang Ge, Chirag Shah:
FAIR: Fairness-Aware Information Retrieval Evaluation. CoRR abs/2106.08527 (2021) - 2020
- [j52]Ruoyuan Gao, Chirag Shah:
Toward creating a fairer ranking in search engine results. Inf. Process. Manag. 57(1) (2020) - [j51]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) - [c127]Sahil Verma, Ruoyuan Gao, Chirag Shah:
Facets of Fairness in Search and Recommendation. BIAS 2020: 1-11 - [c126]Jiqun Liu, Shawon Sarkar, Chirag Shah:
Identifying and Predicting the States of Complex Search Tasks. CHIIR 2020: 193-202 - [c125]Souvick Ghosh, Chirag Shah:
Identifying Citation Sentiment and its Influence while Indexing Scientific Papers. HICSS 2020: 1-10 - [c124]Rishabh Mehrotra, Chirag Shah, Benjamin A. Carterette:
Investigating Listeners' Responses to Divergent Recommendations. RecSys 2020: 692-696 - [c123]Ruoyuan Gao, Chirag Shah:
Counteracting Bias and Increasing Fairness in Search and Recommender Systems. RecSys 2020: 745-747 - [c122]Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo:
Fairness-Aware Explainable Recommendation over Knowledge Graphs. SIGIR 2020: 69-78 - [c121]Chirag Shah, Ryen W. White:
Tutorial on Task-Based Search and Assistance. SIGIR 2020: 2436-2439 - [c120]Yongfeng Zhang, Xu Chen, Yi Zhang, Min Zhang, Chirag Shah:
EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search. SIGIR 2020: 2472-2474 - [c119]Yunhe Feng, Daniel Saelid, Ke Li, Chirag Shah, Ruoyuan Gao:
University of Washington at TREC 2020 Fairness Ranking Track. TREC 2020 - [i7]Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo:
Fairness-Aware Explainable Recommendation over Knowledge Graphs. CoRR abs/2006.02046 (2020) - [i6]Sahil Verma, Ruoyuan Gao, Chirag Shah:
Facets of Fairness in Search and Recommendation. CoRR abs/2008.01194 (2020) - [i5]Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah:
University of Washington at TREC 2020 Fairness Ranking Track. CoRR abs/2011.02066 (2020)
2010 – 2019
- 2019
- [b4]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 - [j50]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) - [j49]Roberto I. González-Ibáñez, Aileen Esparza-Villamán, Juan Carlos Vargas-Godoy, Chirag Shah:
A comparison of unimodal and multimodal models for implicit detection of relevance in interactive IR. J. Assoc. Inf. Sci. Technol. 70(11): 1223-1235 (2019) - [j48]Long T. Le, Chirag Shah, Erik Choi:
Assessing the quality of answers autonomously in community question-answering. Int. J. Digit. Libr. 20(4): 351-367 (2019) - [c118]Jiqun Liu, Chirag Shah:
Proactive identification of query failure. ASIST 2019: 176-185 - [c117]Daniel Hienert, Dagmar Kern, Matthew Mitsui, Chirag Shah, Nicholas J. Belkin:
Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks. CHIIR 2019: 73-81 - [c116]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 - [c115]Jiqun Liu, Chirag Shah:
Investigating the Impacts of Expectation Disconfirmation on Web Search. CHIIR 2019: 319-323 - [c114]Diana Soltani, Matthew Mitsui, Chirag Shah:
Coagmento v3.0: Rapid Prototyping of Web Search Experiments. CHIIR 2019: 367-371 - [c113]Souvick Ghosh, Chirag Shah:
Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks. CIKM 2019: 2449-2452 - [c112]Souvick Ghosh, Chirag Shah:
Toward Automatic Fake News Classification. HICSS 2019: 1-10 - [c111]Ruoyuan Gao, Chirag Shah:
How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information Retrieval. ICTIR 2019: 229-236 - [c110]Hanzhang Wang, Chirag Shah, Praseeda Sathaye, Amit Nahata, Sanjeev Katariya:
Service Application Knowledge Graph and Dependency System. ASE Workshops 2019: 134-136 - [c109]Matthew Mitsui, Chirag Shah:
Bridging Gaps: Predicting User and Task Characteristics from Partial User Information. SIGIR 2019: 415-424 - [c108]Yongfeng Zhang, Yi Zhang, Min Zhang, Chirag Shah:
EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search. SIGIR 2019: 1438-1440 - [i4]Daniel Hienert, Dagmar Kern, Matthew Mitsui, Chirag Shah, Nicholas J. Belkin:
Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks. CoRR abs/1902.04262 (2019) - 2018
- [j47]Long T. Le, Chirag Shah:
Retrieving people: Identifying potential answerers in Community Question-Answering. J. Assoc. Inf. Sci. Technol. 69(10): 1246-1258 (2018) - [c107]Henri Maxime Demoulin, Tavish Vaidya, Isaac Pedisich, Bob DiMaiolo, Jingyu Qian, Chirag Shah, Yuankai Zhang, Ang Chen, Andreas Haeberlen, Boon Thau Loo, Linh Thi Xuan Phan, Micah Sherr, Clay Shields, Wenchao Zhou:
DeDoS: Defusing DoS with Dispersion Oriented Software. ACSAC 2018: 712-722 - [c106]Souvick Ghosh, Chirag Shah:
Towards automatic fake news classification. ASIST 2018: 805-807 - [c105]Jonathan Pulliza, Chirag Shah:
Improving corpus reproducibility through modular text transformations and connected data set. ASIST 2018: 883-884 - [c104]Souvick Ghosh, Manasa Rath, Chirag Shah:
Searching as Learning: Exploring Search Behavior and Learning Outcomes in Learning-related Tasks. CHIIR 2018: 22-31 - [c103]Chirag Shah:
Information Fostering - Being Proactive with Information Seeking and Retrieval: Perspective Paper. CHIIR 2018: 62-71 - [c102]Daniel Hienert, Matthew Mitsui, Philipp Mayr, Chirag Shah, Nicholas J. Belkin:
The Role of the Task Topic in Web Search of Different Task Types. CHIIR 2018: 72-81 - [c101]Yiwei Wang, Shawon Sarkar, Chirag Shah:
Juggling with Information Sources, Task Type, and Information Quality. CHIIR 2018: 82-91 - [c100]Matthew Mitsui, Jiqun Liu, Chirag Shah:
The Paradox of Personalization: Does Task Prediction Require Individualized Models? CHIIR 2018: 277-280 - [c99]Manasa Rath, Souvick Ghosh, Chirag Shah:
Exploring Online and Offline Search Behavior Based on the Varying Task Complexity. CHIIR 2018: 285-288 - [c98]Matthew Mitsui, Jiqun Liu, Chirag Shah:
Coagmento: Past, Present, and Future of an Individual and Collaborative Information Seeking Platform. CHIIR 2018: 325-328 - [c97]Jonathan Pulliza, Chirag Shah:
Information Retrieval and Interaction System (IRIS): A Toolkit for Investigating Information Retrieval and Interaction Activities. CHIIR 2018: 333-335 - [c96]Yiwei Wang, Jiqun Liu, Soumik Mandal, Chirag Shah:
Persuasion by Peer or Expert for Web Search. CSCW Companion 2018: 225-228 - [c95]Matthew Mitsui, Chirag Shah:
The Broad View of Task Type Using Path Analysis. ICTIR 2018: 131-138 - [c94]Abhishek Rai, Chirag Shah, Nirav Shah:
Autonomous Water Surveillance Rover. ISDA (2) 2018: 48-57 - [c93]