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2020 – today
- 2023
[j61]Chirag Shah:
The past, the present, and the future of information and data sciences: A pragmatic view. Data Inf. Manag. 7(1): 100028 (2023)- [j60]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) - [c146]Chirag Shah, Ryen White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin:
Taking Search to Task. CHIIR 2023: 1-13 - [c145]Shawon Sarkar, Maryam Amirizaniani, Chirag Shah:
Representing Tasks with a Graph-Based Method for Supporting Users in Complex Search Tasks. CHIIR 2023: 378-382 - [c144]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 - [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 - [i17]Chirag Shah, Ryen W. White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin:
Taking Search to Task. CoRR abs/2301.05046 (2023) - [i16]Souvick Ghosh, Satanu Ghosh, Chirag Shah:
Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks. CoRR abs/2305.04858 (2023) - [i15]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) - [i14]Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah:
RecRec: Algorithmic Recourse for Recommender Systems. CoRR abs/2308.14916 (2023) - [i13]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) - [i12]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) - 2022
- [j59]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) - [j58]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) - [j57]Ruoyuan Gao, Yingqiang Ge, Chirag Shah:
FAIR: Fairness-aware information retrieval evaluation. J. Assoc. Inf. Sci. Technol. 73(10): 1461-1473 (2022) - [j56]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, pp. 1-160 - [j55]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) - [j54]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) - [j53]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) - [j52]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
- [j51]Ruoyuan Gao, Chirag Shah:
Toward creating a fairer ranking in search engine results. Inf. Process. Manag. 57(1) (2020) - [j50]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 - [j49]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) - [j48]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) - [j47]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
- [j46]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]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 - [e2]Chirag Shah, Nicholas J. Belkin, Katriina Byström, Jeff Huang, Falk Scholer:
Proceedings of the 2018 Conference on Human Information Interaction and Retrieval, CHIIR 2018, New Brunswick, NJ, USA, March 11-15, 2018. ACM 2018 [contents] - [i3]Daniel Hienert, Matthew Mitsui, Philipp Mayr, Chirag Shah, Nicholas J. Belkin:
The Role of the Task Topic in Web Search of Different Task Types. CoRR abs/1808.06813 (2018) - [i2]Nicholas J. Belkin, Daniel Hienert, Philipp Mayr, Chirag Shah:
Data Requirements for Evaluation of Personalization of Information Retrieval - A Position Paper. CoRR abs/1809.02412 (2018) - 2017
- [b3]Chirag Shah:
Social Information Seeking - Leveraging the Wisdom of the Crowd. The Information Retrieval Series 38, Springer 2017, ISBN 978-3-319-56755-6, pp. 3-164 - [j45]Chirag Shah, Chathra Hendahewa, Roberto I. González-Ibáñez:
Two's not always company: collaborative information seeking across task types. Aslib J. Inf. Manag. 69(1): 22-35 (2017) - [j44]Yiwei Wang, Chirag Shah:
Investigating failures in information seeking episodes. Aslib J. Inf. Manag. 69(4): 441-459 (2017) - [j43]Simon Knight, Bart Rienties, Karen Littleton, Matthew Mitsui, Dirk T. Tempelaar, Chirag Shah:
The relationship of (perceived) epistemic cognition to interaction with resources on the internet. Comput. Hum. Behav. 73: 507-518 (2017) - [j42]Chathra Hendahewa, Chirag Shah:
Evaluating user search trails in exploratory search tasks. Inf. Process. Manag. 53(4): 905-922 (2017) - [j41]Simon Knight, Bart Rienties, Karen Littleton, Dirk T. Tempelaar, Matthew Mitsui, Chirag Shah:
The orchestration of a collaborative information seeking learning task. Inf. Retr. J. 20(5): 480-505 (2017) - [j40]Marie L. Radford, Lynn Silipigni Connaway, Stephanie Mikitish, Mark Alpert, Chirag Shah, Nicole A. Cooke:
Shared values, new vision: Collaboration and communities of practice in virtual reference and SQA. J. Assoc. Inf. Sci. Technol. 68(2): 438-449 (2017) - [j39]Erik Choi, Chirag Shah:
Asking for more than an answer: What do askers expect in online Q&A services? J. Inf. Sci. 43(3): 424-435 (2017) - [j38]Leif Azzopardi, Jeremy Pickens, Chirag Shah, Laure Soulier, Lynda Tamine:
Report on the Second International Workshop on the Evaluation on Collaborative Information Seeking and Retrieval (ECol?2017 @ CHIIR). SIGIR Forum 51(3): 122-127 (2017) - [c92]Manasa Rath, Chirag Shah, Diana Floegel:
Identifying the reasons contributing to question deletion in educational Q&A. ASIST 2017: 327-336 - [c91]Shawon Sarkar, Yiwei Wang, Chirag Shah:
Investigating relations of information seeking outcomes to the selection and use of information sources. ASIST 2017: 347-356 - [c90]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 - [c89]Manasa Rath, Oleksandr Zakharchuk, Chirag Shah, Sanghee Oh, Rich Gazan, Mega M. Subramaniam:
Learnsourcing: Is it working or failing, and where to go from here? ASIST 2017: 591-594 - [c88]Vivek K. Singh, Chirag Shah, Jacek Gwizdka, Hideo Joho, Cathal Gurrin:
From sensors to sense-making: Opportunities and challenges for information science. ASIST 2017: 599-602 - [c87]Dongho Choi, JiHo An, Chirag Shah, Vivek K. Singh:
Examining information search behaviors in small physical space: An escape room study. ASIST 2017: 640-641 - [c86]Souvick Ghosh, Chirag Shah:
Information seeking in learning-oriented search. ASIST 2017: 682-684 - [c85]Long T. Le, Chirag Shah, Erik Choi:
Bad Users or Bad Content?: Breaking the Vicious Cycle by Finding Struggling Students in Community Question-Answering. CHIIR 2017: 165-174 - [c84]Manasa Rath, Long T. Le, Chirag Shah:
Discerning the Quality of Questions in Educational Q&Ausing Textual Features. CHIIR 2017: 329-332 - [c83]Yiwei Wang, Shawon Sarkar, Chirag Shah:
Investigating Information Seekers' Selection of Interpersonal and Impersonal Sources. CHIIR 2017: 353-356 - [c82]Leif Azzopardi, Jeremy Pickens, Chirag Shah, Laure Soulier, Lynda Tamine:
Second International Workshop On the Evaluation of Collaborative Information Seeking and Retrieval (Ecol'17). CHIIR 2017: 429-431 - [c81]Nicholas J. Belkin, Daniel Hienert, Philipp Mayr, Chirag Shah:
Data Requirements for Evaluation of Personalization of Information Retrieval. A Position Paper. CLEF (Working Notes) 2017 - [c80]Matthew Mitsui, Chirag Shah:
Query Generation as Result Aggregation for Knowledge Representation. HICSS 2017: 1-10 - [c79]Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang:
Collaborative User Network Embedding for Social Recommender Systems. SDM 2017: 381-389 - [c78]Matthew Mitsui, Jiqun Liu, Nicholas J. Belkin, Chirag Shah:
Predicting Information Seeking Intentions from Search Behaviors. SIGIR 2017: 1121-1124 - 2016
- [j37]Chirag Shah:
The blind leading the blind: Impromptu leaderships influenced by awareness in collaborative search. Aslib J. Inf. Manag. 68(2): 212-226 (2016) - [j36]Chris Leeder, Chirag Shah:
Collaborative information seeking in student group projects. Aslib J. Inf. Manag. 68(5): 526-544 (2016) - [j35]Laure Soulier, Lynda Tamine, Chirag Shah:
MineRank: Leveraging users' latent roles for unsupervised collaborative information retrieval. Inf. Process. Manag. 52(6): 1122-1141 (2016) - [j34]Chris Leeder, Chirag Shah:
Strategies, obstacles, and attitudes: student collaboration in information seeking and synthesis projects. Inf. Res. 21(3) (2016) - [j33]Erik Choi, Chirag Shah:
User motivations for asking questions in online Q&A services. J. Assoc. Inf. Sci. Technol. 67(5): 1182-1197 (2016) - [j32]Chirag Shah, Chathra Hendahewa, Roberto I. González-Ibáñez:
Rain or shine? Forecasting search process performance in exploratory search tasks. J. Assoc. Inf. Sci. Technol. 67(7): 1607-1623 (2016) - [j31]Chirag Shah, Chris Leeder:
Exploring collaborative work among graduate students through the C5 model of collaboration: A diary study. J. Inf. Sci. 42(5): 609-629 (2016)