The purpose of this SIGIR 2017 workshop (held on the workshop day — August 11) is to bring together the community of researchers using Lucene, and its derivatives like Solr and Elasticsearch, and develop tools for IR research. Lucene for Information Access and Retrieval Research (LIARR) is not a traditional “mini conference”-style workshop with a call for papers, reviewed by a programme committee, and then presented. Rather it is a hackathon for attendees to actually work with Lucene in a hands-on capacity. Presentations are meant only as a tool for structuring and guiding the efforts of attendees. Hence, the workshop motto of: less yaking, more hacking.
The goals of this workshop are to:
The aim is to take state of the art in the IR field and provide prototype implementations, where we will focus on:
The workshop is a full day workshop held on the SIGIR workshop day (August 11) and is organised as follows:
There will be a series of sponsored Prizes for various awards.
|Leif Azzopardi is currently a Chancellor’s Research Fellow within the Department of Computer and Information Sciences at the University of Strathclyde in Glasgow, UK. His research interests include: formal models of information seeking and search, and models for information retrieval systems e.g. probabilistic language models, evaluation and developing toolkits for IR research (e.g. PuppyIR, SimIIR, Lucene4IR).|
|Grant Ingersoll is the CTO and co-founder of Lucidworks, co-author of Taming Text, co-founder of Apache Mahout and a long-standing committer on the Apache Lucene and Solr open source projects. Grant's experience includes engineering a variety of search, question answering, and natural language processing applications for a variety of domains and languages. He earned his B.S. from Amherst College in Math and Computer Science and his M.S. in Computer Science from Syracuse University.|
|Jimmy Lin is Professor and David R. Cheriton Chair in the David R. Cheriton School of Computer Science at the University of Waterloo. He graduated with a Ph.D. in Electrical Engineering and Computer Science from MIT in 2004. Lin's research aims to build tools that help users make sense of large amounts of data. His work lies at the intersection of information retrieval and natural language processing, with a focus on large-scale distributed algorithms and infrastructure for data analytics.|
|Yashar Moshfeghi is currently a research associate within the School of Computing Science at the University of Glasgow, UK. His research interests include: game theoretical models for crowdsource-based evaluation as well as relevance feedback techniques for interactive IR using brain, physiological, affective, and interactive signals. He was one of the organisers of the Lucene4IR workshop which aimed to develop Lucene-based toolkits for IR research.|
|Guido Zuccon is a lecturer within the School of Electrical Engineering and Computer Science at the Queensland University of Technology, Australia. His research interests include formal models of search, ranking principles for IR, and retrieval models for health search. Guido has actively contributed to the area of document ranking and search result diversification, implementing retrieval and ranking methods on top of Open Source search engine platforms, as well as Open Source platforms for capturing relevance assessments.|