Alistair Moffat

Examining the Additivity of Top-k Query Processing Innovations

J MacKenzie, A Moffat

Conference Proceedings  |  2020  |  Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Research activity spanning more than five decades has led to index organizations, compression schemes, and traversal algorithms th..

CC-News-En: A Large English News Corpus

Joel Mackenzie, Rodger Benham, Matthias Petri, Johanne R Trippas, J Shane Culpepper, Alistair Moffat

Conference Proceedings  |  2020  |  Proceedings of the 29th ACM International Conference on Information & Knowledge Management

We describe a static, open-access news corpus using data from the Common Crawl Foundation, who provide free, publicly available we..

Large-Alphabet Semi-Static Entropy Coding Via Asymmetric Numeral Systems

Alistair Moffat, Matthias Petri

Journal article  |  2020  |  ACM Transactions on Information Systems

An entropy coder takes as input a sequence of symbol identifiers over some specified alphabet and represents that sequence as a bi..

An entropic relevance measure for stochastic conformance checking in process mining

A Polyvyanyy, A Moffat, L Garcia-Banuelos

Conference Proceedings  |  2020  |  Proceedings - 2020 2nd International Conference on Process Mining, ICPM 2020

Given an event log as a collection of recorded real-world process traces, process mining aims to automatically construct a process..

Bayesian Inferential Risk Evaluation On Multiple IR Systems

Rodger Benham, Ben Carterette, J Shane Culpepper, Alistair Moffat

Conference Proceedings  |  2020  |  Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Information retrieval (IR) ranking models in production systems continually evolve in response to user feedback, insights from res..

Offline evaluation options for recommender systems

Rocio Canamares, Pablo Castells, Alistair Moffat

Journal article  |  2020  |  Information Retrieval Journal

On the Pluses and Minuses of Risk

R Benham, A Moffat, JS Culpepper

Conference Proceedings  |  2020  |  15th Asia Information Retrieval Societies Conference, AIRS 2019

Evaluating the effectiveness of retrieval models has been a mainstay in the IR community since its inception. Generally speaking, ..

Metrics, user models, and satisfaction

AF Wicaksono, A Moffat

Conference Proceedings  |  2020  |  Proceedings of the 13th International Conference on Web Search and Data Mining

User satisfaction is an important factor when evaluating search systems, and hence a good metric should give rise to scores that h..

Entropia: A family of entropy-based conformance checking measures for process mining

A Polyvyanyy, H Alkhammash, C Di Ciccio, L García-Bañuelos, A Kalenkova, SJJ Leemans, J Mendling, A Moffat, M Weidlich

Conference Proceedings  |  2020  |  CEUR Workshop Proceedings

This paper presents a command-line tool, called Entropia, that implements a family of conformance checking measures for process mi..

Generation of Synthetic Query Auto Completion Logs

U Krishnan, A Moffat, J Zobel, B Billerbeck

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Privacy concerns can prohibit research access to large-scale commercial query logs. Here we focus on generation of a synthetic log..