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ORCIDAlistair Moffat
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- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2024
[j94]Alistair Moffat
:
User-oriented metrics for search engine deterministic sort orders. Inf. Process. Manag. 61(1): 103547 (2024)- [j93]Alistair Moffat, Joel Mackenzie:
How much freedom does an effectiveness metric really have? J. Assoc. Inf. Sci. Technol. 75(6): 686-703 (2024) - [j92]Lida Rashidi, Justin Zobel, Alistair Moffat:
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures. ACM Trans. Inf. Syst. 42(1): 19:1-19:31 (2024) - [c200]Hanan Alkhammash, Artem Polyvyanyy, Alistair Moffat:
Stochastic Directly-Follows Process Discovery Using Grammatical Inference. CAiSE 2024: 87-103 - [c199]Anandi Karunaratne, Artem Polyvyanyy, Alistair Moffat:
The Role of Log Representativeness in Estimating Generalization in Process Mining. ICPM 2024: 33-40 - [c198]Anandi Karunaratne, Artem Polyvyanyy, Alistair Moffat:
Entropia: Measuring Log Representativeness and Generalization of Discovered Process Models. ICPM Doctoral Consortium / Demo 2024 - [c197]Lida Rashidi, Justin Zobel, Alistair Moffat:
Query Variability and Experimental Consistency: A Concerning Case Study. ICTIR 2024: 35-41 - 2023
- [j91]Alistair Moffat, Joel Mackenzie:
Efficient immediate-access dynamic indexing. Inf. Process. Manag. 60(3): 103248 (2023) - [j90]Joel Mackenzie, Matthias Petri, Alistair Moffat:
Tradeoff Options for Bipartite Graph Partitioning. IEEE Trans. Knowl. Data Eng. 35(8): 8644-8657 (2023) - [c196]Joel Mackenzie, Alistair Moffat:
Index-Based Batch Query Processing Revisited. ECIR (3) 2023: 86-100 - [c195]Joel Mackenzie, Antonio Mallia, Alistair Moffat, Matthias Petri:
Accelerating Learned Sparse Indexes Via Term Impact Decomposition. IIR 2023: 47-52 - [c194]Joel Mackenzie, Alistair Moffat:
Lossy Compression Options for Dense Index Retention. SIGIR-AP 2023: 185-194 - [e10]Qingyao Ai, Yiqin Liu, Alistair Moffat, Xuanjing Huang, Tetsuya Sakai, Justin Zobel:
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023. ACM 2023 [contents] - [i17]Alistair Moffat, Joel Mackenzie:
How Much Freedom Does An Effectiveness Metric Really Have? CoRR abs/2309.09477 (2023) - [i16]Hanan Alkhammash, Artem Polyvyanyy, Alistair Moffat:
Stochastic Directly-Follows Process Discovery Using Grammatical Inference. CoRR abs/2312.05433 (2023) - [i15]Alistair Moffat:
Categorical, Ratio, and Professorial Data: The Case for Reciprocal Rank. CoRR abs/2312.12672 (2023) - 2022
- [j89]Alistair Moffat:
Batch Evaluation Metrics in Information Retrieval: Measures, Scales, and Meaning. IEEE Access 10: 105564-105577 (2022) - [j88]Pablo Castells, Alistair Moffat:
Offline Recommender System Evaluation: Challenges and New Directions. AI Mag. 43(2): 225-238 (2022) - [j87]Joel Mackenzie, Matthias Petri, Alistair Moffat:
Efficient query processing techniques for next-page retrieval. Inf. Retr. J. 25(1): 27-43 (2022) - [j86]Hanan Alkhammash, Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos:
Entropic relevance: A mechanism for measuring stochastic process models discovered from event data. Inf. Syst. 107: 101922 (2022) - [j85]Joel Mackenzie, Matthias Petri, Alistair Moffat:
Anytime Ranking on Document-Ordered Indexes. ACM Trans. Inf. Syst. 40(1): 13:1-13:32 (2022) - [c193]Alistair Moffat, Joel Mackenzie:
Immediate-Access Indexing Using Space-Efficient Extensible Arrays. ADCS 2022: 2:1-2:8 - [c192]Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos:
Bootstrapping Generalization of Process Models Discovered from Event Data. CAiSE 2022: 36-54 - [c191]Joel Mackenzie, Antonio Mallia, Alistair Moffat, Matthias Petri:
Accelerating Learned Sparse Indexes Via Term Impact Decomposition. EMNLP (Findings) 2022: 2830-2842 - [c190]Alistair Moffat:
Users: Can't Work With Them, Can't Work Without Them? SIGIR 2022: 1 - [c189]Alistair Moffat, Joel Mackenzie, Paul Thomas, Leif Azzopardi:
A Flexible Framework for Offline Effectiveness Metrics. SIGIR 2022: 578-587 - [c188]Oleg Zendel, Melika P. Ebrahim, J. Shane Culpepper, Alistair Moffat, Falk Scholer:
Can Users Predict Relative Query Effectiveness? SIGIR 2022: 2545-2549 - [i14]Alistair Moffat:
Batch Evaluation Metrics in Information Retrieval: Measures, Scales, and Meaning. CoRR abs/2207.03103 (2022) - [i13]Alistair Moffat, Joel Mackenzie:
Efficient Immediate-Access Dynamic Indexing. CoRR abs/2211.06030 (2022) - 2021
- [j84]Alfan Farizki Wicaksono, Alistair Moffat:
Modeling search and session effectiveness. Inf. Process. Manag. 58(4): 102601 (2021) - [j83]Alistair Moffat, Joel Mackenzie:
Conferences, journals, preprints, and reviewer expectations. SIGIR Forum 55(2): 22:1-22:8 (2021) - [c187]Joel Mackenzie, Alistair Moffat:
Cost-Effective Updating of Distributed Reordered Indexes. ADCS 2021: 4:1-4:8 - [c186]Rodger Benham, Joel Mackenzie, J. Shane Culpepper, Alistair Moffat:
Different Keystrokes for Different Folks: Visualizing Crowdworker Querying Behavior. CHIIR 2021: 331-335 - [c185]Leif Azzopardi, Alistair Moffat, Paul Thomas, Guido Zuccon:
User Models, Metrics and Measures of Search: A Tutorial on the C/W/L Evaluation Framework. CHIIR 2021: 347-348 - [c184]Rodger Benham, Alistair Moffat, J. Shane Culpepper:
Bayesian System Inference on Shallow Pools. ECIR (2) 2021: 209-215 - [c183]Joel Mackenzie, Alistair Moffat:
Modality Effects When Simulating User Querying Tasks. ICTIR 2021: 197-201 - [c182]Leif Azzopardi, Joel Mackenzie, Alistair Moffat:
ERR is not C/W/L: Exploring the Relationship Between Expected Reciprocal Rank and Other Metrics. ICTIR 2021: 231-237 - [c181]Lida Rashidi, Justin Zobel, Alistair Moffat:
Evaluating the Predictivity of IR Experiments. SIGIR 2021: 1667-1671 - [c180]Joel Mackenzie, Matthias Petri, Alistair Moffat:
Faster Index Reordering with Bipartite Graph Partitioning. SIGIR 2021: 1910-1914 - [i12]Joel Mackenzie, Matthias Petri, Alistair Moffat:
Anytime Ranking on Document-Ordered Indexes. CoRR abs/2104.08976 (2021) - [i11]Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos:
Bootstrapping Generalization of Process Models Discovered From Event Data. CoRR abs/2107.03876 (2021) - [i10]Joel Mackenzie, Matthias Petri, Alistair Moffat:
A Sensitivity Analysis of the MSMARCO Passage Collection. CoRR abs/2112.03396 (2021) - 2020
- [j82]Rocío Cañamares, Pablo Castells, Alistair Moffat:
Offline evaluation options for recommender systems. Inf. Retr. J. 23(4): 387-410 (2020) - [j81]Alistair Moffat, Matthias Petri:
Large-Alphabet Semi-Static Entropy Coding Via Asymmetric Numeral Systems. ACM Trans. Inf. Syst. 38(4): 33:1-33:33 (2020) - [c179]Joel M. Mackenzie, Alistair Moffat:
Examining the Additivity of Top-k Query Processing Innovations. CIKM 2020: 1085-1094 - [c178]Joel M. Mackenzie, Rodger Benham, Matthias Petri, Johanne R. Trippas, J. Shane Culpepper, Alistair Moffat:
CC-News-En: A Large English News Corpus. CIKM 2020: 3077-3084 - [c177]Unni Krishnan, Alistair Moffat, Justin Zobel, Bodo Billerbeck:
Generation of Synthetic Query Auto Completion Logs. ECIR (1) 2020: 621-635 - [c176]Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna A. Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich:
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining. ICPM Doctoral Consortium / Tools 2020: 39-42 - [c175]Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos:
An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining. ICPM 2020: 97-104 - [c174]Rodger Benham, Ben Carterette, J. Shane Culpepper, Alistair Moffat:
Bayesian Inferential Risk Evaluation On Multiple IR Systems. SIGIR 2020: 339-348 - [c173]Alfan Farizki Wicaksono, Alistair Moffat:
Metrics, User Models, and Satisfaction. WSDM 2020: 654-662 - [i9]Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos:
An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining. CoRR abs/2007.09310 (2020) - [i8]Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna A. Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich:
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining. CoRR abs/2008.09558 (2020) - [i7]Rodger Benham, Alistair Moffat, J. Shane Culpepper:
RMITB at TREC COVID 2020. CoRR abs/2011.04830 (2020)
2010 – 2019
- 2019
- [j80]Alistair Moffat:
Huffman Coding. ACM Comput. Surv. 52(4): 85:1-85:35 (2019) - [j79]Unni Krishnan, Bodo Billerbeck, Alistair Moffat, Justin Zobel:
Abstraction of query auto completion logs for anonymity-preserving analysis. Inf. Retr. J. 22(5): 499-524 (2019) - [j78]Rodger Benham, Joel M. Mackenzie, Alistair Moffat, J. Shane Culpepper:
Boosting Search Performance Using Query Variations. ACM Trans. Inf. Syst. 37(4): 41:1-41:25 (2019) - [c172]Rodger Benham, Ben Carterette, Alistair Moffat, J. Shane Culpepper:
Taking Risks with Confidence. ADCS 2019: 1:1-1:4 - [c171]Rodger Benham, Alistair Moffat, J. Shane Culpepper:
On the Pluses and Minuses of Risk. AIRS 2019: 81-93 - [c170]Alfan Farizki Wicaksono, Alistair Moffat, Justin Zobel:
Modeling User Actions in Job Search. ECIR (1) 2019: 652-664 - [c169]Matthias Petri, Alistair Moffat, Joel M. Mackenzie, J. Shane Culpepper, Daniel Beck:
Accelerated Query Processing Via Similarity Score Prediction. SIGIR 2019: 485-494 - [c168]Leif Azzopardi, Paul Thomas, Alistair Moffat:
cwl_eval: An Evaluation Tool for Information Retrieval. SIGIR 2019: 1321-1324 - [c167]Leif Azzopardi, Alistair Moffat, Paul Thomas, Guido Zuccon:
Building Economic Models and Measures of Search. SIGIR 2019: 1401-1402 - [c166]Giulio Ermanno Pibiri, Matthias Petri, Alistair Moffat:
Fast Dictionary-Based Compression for Inverted Indexes. WSDM 2019: 6-14 - [e9]J. Shane Culpepper, Alistair Moffat, Paul N. Bennett, Kristina Lerman:
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019. ACM 2019, ISBN 978-1-4503-5940-5 [contents] - [r4]Alistair Moffat, Matthias Petri:
Computing the Cost of Compressed Data. Encyclopedia of Big Data Technologies 2019 - 2018
- [j77]Alistair Moffat, Falk Scholer, Ziying Yang:
Estimating Measurement Uncertainty for Information Retrieval Effectiveness Metrics. ACM J. Data Inf. Qual. 10(3): 10:1-10:22 (2018) - [j76]Matthias Petri, Alistair Moffat:
Compact inverted index storage using general-purpose compression libraries. Softw. Pract. Exp. 48(4): 974-982 (2018) - [j75]Alistair Moffat:
Computing Maximized Effectiveness Distance for Recall-Based Metrics. IEEE Trans. Knowl. Data Eng. 30(1): 198-203 (2018) - [c165]Paul Thomas, Alistair Moffat, Peter Bailey, Falk Scholer, Nick Craswell:
Better Effectiveness Metrics for SERPs, Cards, and Rankings. ADCS 2018: 1:1-1:8 - [c164]Alfan Farizki Wicaksono, Alistair Moffat:
Exploring Interaction Patterns in Job Search. ADCS 2018: 2:1-2:8 - [c163]Ziying Yang, Alistair Moffat, Andrew Turpin:
Pairwise Crowd Judgments: Preference, Absolute, and Ratio. ADCS 2018: 3:1-3:8 - [c162]Ameer Albahem, Damiano Spina, Falk Scholer, Alistair Moffat, Lawrence Cavedon:
Desirable Properties for Diversity and Truncated Effectiveness Metrics. ADCS 2018: 9:1-9:7 - [c161]Alfan Farizki Wicaksono, Alistair Moffat:
Empirical Evidence for Search Effectiveness Models. CIKM 2018: 1571-1574 - [c160]Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel:
A Preliminary Comparison of Job, Talent, and Web Search. IIR 2018 - [c159]Alistair Moffat, Alfan Farizki Wicaksono:
Users, Adaptivity, and Bad Abandonment. SIGIR 2018: 897-900 - [c158]Bahar Salehi, Damiano Spina, Alistair Moffat, Sargol Sadeghi, Falk Scholer, Timothy Baldwin, Lawrence Cavedon, Mark Sanderson, Wilson Wong, Justin Zobel:
A Living Lab Study of Query Amendment in Job Search. SIGIR 2018: 905-908 - [c157]Rodger Benham, Luke Gallagher, Joel M. Mackenzie, Binsheng Liu, Xiaolu Lu, Falk Scholer, J. Shane Culpepper, Alistair Moffat:
RMIT at the 2018 TREC CORE Track. TREC 2018 - [c156]Alistair Moffat, Matthias Petri:
Index Compression Using Byte-Aligned ANS Coding and Two-Dimensional Contexts. WSDM 2018: 405-413 - [e8]Travis Gagie, Alistair Moffat, Gonzalo Navarro, Ernesto Cuadros-Vargas:
String Processing and Information Retrieval - 25th International Symposium, SPIRE 2018, Lima, Peru, October 9-11, 2018, Proceedings. Lecture Notes in Computer Science 11147, Springer 2018, ISBN 978-3-030-00478-1 [contents] - [i6]Rodger Benham, Joel M. Mackenzie, Alistair Moffat, J. Shane Culpepper:
Boosting Search Performance Using Query Variations. CoRR abs/1811.06147 (2018) - 2017
- [j74]David Hawking, Alistair Moffat, Andrew Trotman:
Efficiency in information retrieval: introduction to special issue. Inf. Retr. J. 20(3): 169-171 (2017) - [j73]Yubin Kim, Jamie Callan, J. Shane Culpepper, Alistair Moffat:
Efficient distributed selective search. Inf. Retr. J. 20(3): 221-252 (2017) - [j72]Yvette Graham, Timothy Baldwin, Alistair Moffat, Justin Zobel:
Can machine translation systems be evaluated by the crowd alone. Nat. Lang. Eng. 23(1): 3-30 (2017) - [j71]Alistair Moffat, Peter Bailey, Falk Scholer, Paul Thomas:
Incorporating User Expectations and Behavior into the Measurement of Search Effectiveness. ACM Trans. Inf. Syst. 35(3): 24:1-24:38 (2017) - [c155]Unni Krishnan, Alistair Moffat, Justin Zobel:
A Taxonomy of Query Auto Completion Modes. ADCS 2017: 6:1-6:8 - [c154]Paul Thomas, Falk Scholer, Peter Bailey, Alistair Moffat:
Tasks, Queries, and Rankers in Pre-Retrieval Performance Prediction. ADCS 2017: 11:1-11:4 - [c153]Simon Gog, Alistair Moffat, Matthias Petri:
CSA++: Fast Pattern Search for Large Alphabets. ALENEX 2017: 73-82 - [c152]Alistair Moffat, Matthias Petri:
ANS-Based Index Compression. CIKM 2017: 677-686 - [c151]George Buchanan, Dana McKay, Eduardo Velloso, Alistair Moffat, Andrew Turpin, Falk Scholer:
Only forward?: toward understanding human visual behaviour when examining search results. OZCHI 2017: 497-502 - [c150]Xiaolu Lu, Alistair Moffat, J. Shane Culpepper:
Can Deep Effectiveness Metrics Be Evaluated Using Shallow Judgment Pools? SIGIR 2017: 35-44 - [c149]Peter Bailey, Alistair Moffat, Falk Scholer, Paul Thomas:
Retrieval Consistency in the Presence of Query Variations. SIGIR 2017: 395-404 - [c148]Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel:
Understanding User Behavior in Job and Talent Search: An Initial Investigation. eCOM@SIGIR 2017 - [c147]Rodger Benham, Luke Gallagher, Joel M. Mackenzie, Tadele Tedla Damessie, Ruey-Cheng Chen, Falk Scholer, Alistair Moffat, J. Shane Culpepper:
RMIT at the 2017 TREC CORE Track. TREC 2017 - [c146]Kewen Liao, Alistair Moffat, Matthias Petri, Anthony Wirth:
A Cost Model for Long-Term Compressed Data Retention. WSDM 2017: 241-249 - 2016
- [j70]Rodrigo Cánovas, Alistair Moffat, Andrew Turpin:
CSAM: Compressed SAM format. Bioinform. 32(24): 3709-3716 (2016) - [j69]Charles L. A. Clarke, J. Shane Culpepper, Alistair Moffat:
Assessing efficiency-effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments. Inf. Retr. J. 19(4): 351-377 (2016) - [j68]Xiaolu Lu, Alistair Moffat, J. Shane Culpepper:
The effect of pooling and evaluation depth on IR metrics. Inf. Retr. J. 19(4): 416-445 (2016) - [c145]Alistair Moffat:
Judgment Pool Effects Caused by Query Variations. ADCS 2016: 65-68 - [c144]Xiaolu Lu, Alistair Moffat, J. Shane Culpepper:
Modeling Relevance as a Function of Retrieval Rank. AIRS 2016: 3-15 - [c143]Ziying Yang, Alistair Moffat, Andrew Turpin:
How Precise Does Document Scoring Need to Be? AIRS 2016: 279-291 - [c142]Yubin Kim, Jamie Callan, J. Shane Culpepper, Alistair Moffat:
Does Selective Search Benefit from WAND Optimization? ECIR 2016: 145-158 - [c141]Xiaolu Lu, Alistair Moffat, J. Shane Culpepper:
Efficient and Effective Higher Order Proximity Modeling. ICTIR 2016: 21-30 - [c140]Alistair Moffat:
What Would We Like IR Metrics to Measure? NTCIR 2016 - [c139]Peter Bailey, Alistair Moffat, Falk Scholer, Paul Thomas:
UQV100: A Test Collection with Query Variability. SIGIR 2016: 725-728 - [c138]Yubin Kim, Jamie Callan, J. Shane Culpepper, Alistair Moffat:
Load-Balancing in Distributed Selective Search. SIGIR 2016: 905-908 - [c137]Fei Liu, Alistair Moffat, Timothy Baldwin, Xiuzhen Zhang:
Quit While Ahead: Evaluating Truncated Rankings. SIGIR 2016: 953-956 - [c136]Kewen Liao, Matthias Petri, Alistair Moffat, Anthony Wirth:
Effective Construction of Relative Lempel-Ziv Dictionaries. WWW 2016: 807-816 - [r3]Alistair Moffat:
Compressing Integer Sequences. Encyclopedia of Algorithms 2016: 407-412 - [r2]Alistair Moffat:
Huffman Coding. Encyclopedia of Algorithms 2016: 938-942 - [i5]Matthias Petri, Alistair Moffat, P. C. Nagesh, Anthony Wirth:
Access Time Tradeoffs in Archive Compression. CoRR abs/1602.08829 (2016) - [i4]Simon Gog, Alistair Moffat, Matthias Petri:
CSA++: Fast Pattern Search for Large Alphabets. CoRR abs/1605.05404 (2016) - 2015
- [c135]Alistair Moffat, Peter Bailey, Falk Scholer, Paul Thomas:
INST: An Adaptive Metric for Information Retrieval Evaluation. ADCS 2015: 5:1-5:4 - [c134]Matthias Petri, Alistair Moffat, P. C. Nagesh, Anthony Wirth:
Access Time Tradeoffs in Archive Compression. AIRS 2015: 15-28 - [c133]Paul Thomas, Peter Bailey, Alistair Moffat, Falk Scholer:
Towards Nuanced System Evaluation Based on Implicit User Expectations. AIRS 2015: 332-344 - [c132]Xiaolu Lu, Alistair Moffat, J. Shane Culpepper:
On the Cost of Extracting Proximity Features for Term-Dependency Models. CIKM 2015: 293-302 - [c131]Alistair Moffat, Falk Scholer, Paul Thomas, Peter Bailey:
Pooled Evaluation Over Query Variations: Users are as Diverse as Systems. CIKM 2015: 1759-1762 - [c130]