PISA: Performant indexes and search for academia

Antonio Mallia; Michał Siedlaczek; Joel MacKenzie; Torsten Suel

PISA: Performant indexes and search for academia

Antonio Mallia, Michał Siedlaczek, Joel MacKenzie, Torsten Suel

Research output: Contribution to journal › Conference article › peer-review

Abstract

Performant Indexes and Search for Academia (PISA) is an experimental search engine that focuses on efficient implementations of state-of-the-art representations and algorithms for text retrieval. In this work, we outline our effort in creating a replicable search run from PISA for the 2019 Open Source Information Retrieval Replicability Challenge, which encourages the information retrieval community to produce replicable systems through the use of a containerized, Docker-based infrastructure. We also discuss the origins, current functionality, and future direction and challenges for the PISA system.

Original language	English (US)
Pages (from-to)	50-56
Number of pages	7
Journal	CEUR Workshop Proceedings
Volume	2409
State	Published - 2019
Event	2019 Open-Source IR Replicability Challenge, OSIRRC 2019 - Paris, France Duration: Jul 25 2019 → …

Keywords

Open-source system
Replicability
Search engine

ASJC Scopus subject areas

General Computer Science

Cite this

@article{3261fcc5c68f49c5955fd07517968ba0,

title = "PISA: Performant indexes and search for academia",

abstract = "Performant Indexes and Search for Academia (PISA) is an experimental search engine that focuses on efficient implementations of state-of-the-art representations and algorithms for text retrieval. In this work, we outline our effort in creating a replicable search run from PISA for the 2019 Open Source Information Retrieval Replicability Challenge, which encourages the information retrieval community to produce replicable systems through the use of a containerized, Docker-based infrastructure. We also discuss the origins, current functionality, and future direction and challenges for the PISA system.",

keywords = "Open-source system, Replicability, Search engine",

author = "Antonio Mallia and Micha{\l} Siedlaczek and Joel MacKenzie and Torsten Suel",

note = "Funding Information: This research was supported by NSF Grant IIS-1718680, a grant from Amazon and the Australian Research Training Program Scholarship. Publisher Copyright: {\textcopyright} 2019 for this paper by its authors.; 2019 Open-Source IR Replicability Challenge, OSIRRC 2019 ; Conference date: 25-07-2019",

year = "2019",

language = "English (US)",

volume = "2409",

pages = "50--56",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

TY - JOUR

T1 - PISA

T2 - 2019 Open-Source IR Replicability Challenge, OSIRRC 2019

AU - Mallia, Antonio

AU - Siedlaczek, Michał

AU - MacKenzie, Joel

AU - Suel, Torsten

N1 - Funding Information: This research was supported by NSF Grant IIS-1718680, a grant from Amazon and the Australian Research Training Program Scholarship. Publisher Copyright: © 2019 for this paper by its authors.

PY - 2019

Y1 - 2019

N2 - Performant Indexes and Search for Academia (PISA) is an experimental search engine that focuses on efficient implementations of state-of-the-art representations and algorithms for text retrieval. In this work, we outline our effort in creating a replicable search run from PISA for the 2019 Open Source Information Retrieval Replicability Challenge, which encourages the information retrieval community to produce replicable systems through the use of a containerized, Docker-based infrastructure. We also discuss the origins, current functionality, and future direction and challenges for the PISA system.

AB - Performant Indexes and Search for Academia (PISA) is an experimental search engine that focuses on efficient implementations of state-of-the-art representations and algorithms for text retrieval. In this work, we outline our effort in creating a replicable search run from PISA for the 2019 Open Source Information Retrieval Replicability Challenge, which encourages the information retrieval community to produce replicable systems through the use of a containerized, Docker-based infrastructure. We also discuss the origins, current functionality, and future direction and challenges for the PISA system.

KW - Open-source system

KW - Replicability

KW - Search engine

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UR - http://www.scopus.com/inward/citedby.url?scp=85070684712&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85070684712

SN - 1613-0073

VL - 2409

SP - 50

EP - 56

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 25 July 2019

ER -

PISA: Performant indexes and search for academia

Abstract

Keywords

ASJC Scopus subject areas

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