Modeling user actions in job search

Alfan Farizki Wicaksono, Alistair Moffat, Justin Zobel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Users of online job search tools interact with result pages in three different ways: via impressions, via clicks, and via applications. We investigate the relationship between these three kinds of interaction using logs provided by Seek.com, an Australian-based job search service. Our focus is on understanding the extent to which the three interaction types can be used to predict each other. In particular we examine models for inferring impressions from clicks, thereby providing system designers with new options for evaluating search result pages.

Original languageEnglish
Title of host publicationAdvances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Proceedings
EditorsNorbert Fuhr, Leif Azzopardi, Benno Stein, Claudia Hauff, Philipp Mayr, Djoerd Hiemstra
PublisherSpringer Verlag
Pages652-664
Number of pages13
ISBN (Print)9783030157111
DOIs
Publication statusPublished - 1 Jan 2019
Event41st European Conference on Information Retrieval, ECIR 2019 - Cologne, Germany
Duration: 14 Apr 201918 Apr 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11437 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference41st European Conference on Information Retrieval, ECIR 2019
CountryGermany
CityCologne
Period14/04/1918/04/19

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