Query log mining for inferring user tasks and needs

R Mehrotra, Emine Yilmaz

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

1 Scopus citations

Abstract

Search behavior, and information seeking behavior more generally, is often motivated by tasks that prompt search processes that are often lengthy, iterative, and intermittent, and are characterized by distinct stages, shifting goals and multitasking. Current search systems do not provide adequate support for users tackling complex tasks due to which the cognitive burden of keeping track of such tasks is placed on the searcher. In this note, we summarize our recent efforts towards extracting search tasks from search logs. Based on recent advancements in Bayesian Nonparametrics and distributional semantics, we propose novel algorithms to extract task and subtasks from a query collection. The models discussed can inform the design of the next generation of task-based search systems that leverage user’s task behavior for better support and personalization.

Original languageAmerican English
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsBjörn Bringmann, Elisa Fromont, Nikolaj Tatti, Volker Tresp, Pauli Miettinen, Bettina Berendt, Gemma Garriga
PublisherSpringer Verlag
Pages284-288
Number of pages5
ISBN (Print)9783319461304
DOIs
StatePublished - 2016
Event15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016 - Riva del Garda, Italy
Duration: Sep 19 2016Sep 23 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9853 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016
Country/TerritoryItaly
CityRiva del Garda
Period09/19/1609/23/16

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  • Dynamic User Interests

    Liang, S. (CoI), Ren, Z. (CoI), Zhao, Y. (CoI), Yilmaz, E. (CoI), Kanoulas, E. (CoI), Ma, J. (CoI), De Rijke, M. (CoI) & Hobby, M. (CoI)

    08/1/1507/1/19

    Project: Research

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