Building and using models of information seeking, search and retrieval: full day tutorial

Leif Azzopardi, Guido Zuccon

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

5 Citations (Scopus)

Abstract

Understanding how people interact with information systems when searching is central to the study of Interactive Information Retrieval (IIR). While much of the prior work in this area has either been conceptual, observational or empirical, recently there has been renewed interest in developing mathematical models of information seeking and search. This is because such models can provide a concise and compact representation of search behaviours and naturally generate testable hypotheses about search behaviour. This full day tutorial focuses on explaining and building formal models of Information Seeking and Retrieval. The tutorial is structured into four sessions. In the first session we will discuss the rationale of modelling and examine a number of early formal models of search (including early cost models and the Probability Ranking Principle). Then we will examine more contemporary formal models (including Information Foraging Theory, the Interactive Probability Ranking Principle, and Search Economic Theory). The focus will be on the insights and intuitions that we can glean from the math behind these models. The latter sessions will be dedicated to building models that optimise particular objectives which drive how users make decisions, along with a how-to guide on model building, where we will describe different techniques (including analytical, graphical and computational) that can be used to generate hypotheses from such models. In the final session, participants will be challenged to develop a simple model of interaction applying the techniques learnt during the day, before concluding with an overview of challenges and future directions.

This tutorial is aimed at participants wanting to know more about the various formal models of information seeking, search and retrieval, that have been proposed in the literature. The tutorial will be presented at an introductory level, and is designed to support participants who want to be able to understand and apply such models, as well as to build their own models.
LanguageEnglish
Title of host publicationSIGIR '15 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of PublicationNew York, NY, USA
Pages1107-1110
Number of pages4
DOIs
Publication statusPublished - 9 Aug 2015
Externally publishedYes

Fingerprint

ranking
information theory
intuition
economic theory
information retrieval
information system
costs
interaction
literature

Keywords

  • information foraging theory
  • user models
  • search behaviour
  • retrieval strategies

Cite this

Azzopardi, L., & Zuccon, G. (2015). Building and using models of information seeking, search and retrieval: full day tutorial. In SIGIR '15 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1107-1110). New York, NY, USA. https://doi.org/10.1145/2766462.2767874
Azzopardi, Leif ; Zuccon, Guido. / Building and using models of information seeking, search and retrieval : full day tutorial. SIGIR '15 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA, 2015. pp. 1107-1110
@inproceedings{82b5ebab5f044301bd209aa67e756072,
title = "Building and using models of information seeking, search and retrieval: full day tutorial",
abstract = "Understanding how people interact with information systems when searching is central to the study of Interactive Information Retrieval (IIR). While much of the prior work in this area has either been conceptual, observational or empirical, recently there has been renewed interest in developing mathematical models of information seeking and search. This is because such models can provide a concise and compact representation of search behaviours and naturally generate testable hypotheses about search behaviour. This full day tutorial focuses on explaining and building formal models of Information Seeking and Retrieval. The tutorial is structured into four sessions. In the first session we will discuss the rationale of modelling and examine a number of early formal models of search (including early cost models and the Probability Ranking Principle). Then we will examine more contemporary formal models (including Information Foraging Theory, the Interactive Probability Ranking Principle, and Search Economic Theory). The focus will be on the insights and intuitions that we can glean from the math behind these models. The latter sessions will be dedicated to building models that optimise particular objectives which drive how users make decisions, along with a how-to guide on model building, where we will describe different techniques (including analytical, graphical and computational) that can be used to generate hypotheses from such models. In the final session, participants will be challenged to develop a simple model of interaction applying the techniques learnt during the day, before concluding with an overview of challenges and future directions.This tutorial is aimed at participants wanting to know more about the various formal models of information seeking, search and retrieval, that have been proposed in the literature. The tutorial will be presented at an introductory level, and is designed to support participants who want to be able to understand and apply such models, as well as to build their own models.",
keywords = "information foraging theory, user models, search behaviour, retrieval strategies",
author = "Leif Azzopardi and Guido Zuccon",
year = "2015",
month = "8",
day = "9",
doi = "10.1145/2766462.2767874",
language = "English",
isbn = "978-1-4503-3621-5",
pages = "1107--1110",
booktitle = "SIGIR '15 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval",

}

Azzopardi, L & Zuccon, G 2015, Building and using models of information seeking, search and retrieval: full day tutorial. in SIGIR '15 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA, pp. 1107-1110. https://doi.org/10.1145/2766462.2767874

Building and using models of information seeking, search and retrieval : full day tutorial. / Azzopardi, Leif; Zuccon, Guido.

SIGIR '15 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA, 2015. p. 1107-1110.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Building and using models of information seeking, search and retrieval

T2 - full day tutorial

AU - Azzopardi, Leif

AU - Zuccon, Guido

PY - 2015/8/9

Y1 - 2015/8/9

N2 - Understanding how people interact with information systems when searching is central to the study of Interactive Information Retrieval (IIR). While much of the prior work in this area has either been conceptual, observational or empirical, recently there has been renewed interest in developing mathematical models of information seeking and search. This is because such models can provide a concise and compact representation of search behaviours and naturally generate testable hypotheses about search behaviour. This full day tutorial focuses on explaining and building formal models of Information Seeking and Retrieval. The tutorial is structured into four sessions. In the first session we will discuss the rationale of modelling and examine a number of early formal models of search (including early cost models and the Probability Ranking Principle). Then we will examine more contemporary formal models (including Information Foraging Theory, the Interactive Probability Ranking Principle, and Search Economic Theory). The focus will be on the insights and intuitions that we can glean from the math behind these models. The latter sessions will be dedicated to building models that optimise particular objectives which drive how users make decisions, along with a how-to guide on model building, where we will describe different techniques (including analytical, graphical and computational) that can be used to generate hypotheses from such models. In the final session, participants will be challenged to develop a simple model of interaction applying the techniques learnt during the day, before concluding with an overview of challenges and future directions.This tutorial is aimed at participants wanting to know more about the various formal models of information seeking, search and retrieval, that have been proposed in the literature. The tutorial will be presented at an introductory level, and is designed to support participants who want to be able to understand and apply such models, as well as to build their own models.

AB - Understanding how people interact with information systems when searching is central to the study of Interactive Information Retrieval (IIR). While much of the prior work in this area has either been conceptual, observational or empirical, recently there has been renewed interest in developing mathematical models of information seeking and search. This is because such models can provide a concise and compact representation of search behaviours and naturally generate testable hypotheses about search behaviour. This full day tutorial focuses on explaining and building formal models of Information Seeking and Retrieval. The tutorial is structured into four sessions. In the first session we will discuss the rationale of modelling and examine a number of early formal models of search (including early cost models and the Probability Ranking Principle). Then we will examine more contemporary formal models (including Information Foraging Theory, the Interactive Probability Ranking Principle, and Search Economic Theory). The focus will be on the insights and intuitions that we can glean from the math behind these models. The latter sessions will be dedicated to building models that optimise particular objectives which drive how users make decisions, along with a how-to guide on model building, where we will describe different techniques (including analytical, graphical and computational) that can be used to generate hypotheses from such models. In the final session, participants will be challenged to develop a simple model of interaction applying the techniques learnt during the day, before concluding with an overview of challenges and future directions.This tutorial is aimed at participants wanting to know more about the various formal models of information seeking, search and retrieval, that have been proposed in the literature. The tutorial will be presented at an introductory level, and is designed to support participants who want to be able to understand and apply such models, as well as to build their own models.

KW - information foraging theory

KW - user models

KW - search behaviour

KW - retrieval strategies

U2 - 10.1145/2766462.2767874

DO - 10.1145/2766462.2767874

M3 - Conference contribution book

SN - 978-1-4503-3621-5

SP - 1107

EP - 1110

BT - SIGIR '15 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval

CY - New York, NY, USA

ER -

Azzopardi L, Zuccon G. Building and using models of information seeking, search and retrieval: full day tutorial. In SIGIR '15 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA. 2015. p. 1107-1110 https://doi.org/10.1145/2766462.2767874