6 citations · 6 across the 6 of their papers we have counts for
10 papers
A Sensitivity Analysis of the MSMARCO Passage Collection
Joel Mackenzie, Matthias Petri, Alistair Moffat
The recent MSMARCO passage retrieval collection has allowed researchers to develop highly tuned retrieval systems. One aspect of this data set that makes it distinctive compared to…
Anytime Ranking on Document-Ordered Indexes
Joel Mackenzie, Matthias Petri, Alistair Moffat
Inverted indexes continue to be a mainstay of text search engines, allowing efficient querying of large document collections. While there are a number of possible organizations, do…
RMITB at TREC COVID 2020
Rodger Benham, Alistair Moffat, J. Shane Culpepper
Search engine users rarely express an information need using the same query, and small differences in queries can lead to very different result sets. These user query variations ha…
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining
Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio +6
This paper presents a command-line tool, called Entropia, that implements a family of conformance checking measures for process mining founded on the notion of entropy from informa…
An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining
Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos
Given an event log as a collection of recorded real-world process traces, process mining aims to automatically construct a process model that is both simple and provides a useful e…
Boosting Search Performance Using Query Variations
Rodger Benham, Joel Mackenzie, Alistair Moffat +1
Rank fusion is a powerful technique that allows multiple sources of information to be combined into a single result set. However, to date fusion has not been regarded as being cost…