A language modeling approach to personalized search based on users' microblog behavior

Arjumand Younus, Colm O'Riordan, Gabriella Pasi

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

18 Citations (Scopus)

Abstract

Personalized Web search offers a promising solution to the task of user-tailored information-seeking, and particularly in cases where the same query may represent diverse information needs. A significant component of any Web search personalization model is the means with which to model a user's interests and preferences to build what is termed as a user profile. This work explores the use of the Twitter microblog network as a source of user profile construction for Web search personalization. We propose a statistical language modeling approach taking into account various features of a user's Twitter network. The richness of the Web search personalization model leads to significant performance improvements in retrieval accuracy. Furthermore, the model is extended to include a similarity measure which further improves search engine performance.

Original languageEnglish
Title of host publicationAdvances in Information Retrieval - 36th European Conference on IR Research, ECIR 2014, Proceedings
PublisherSpringer-Verlag
Pages727-732
Number of pages6
ISBN (Print)9783319060279
DOIs
Publication statusPublished - 2014
Event36th European Conference on Information Retrieval, ECIR 2014 - Amsterdam, Netherlands
Duration: 13 Apr 201416 Apr 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8416 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference36th European Conference on Information Retrieval, ECIR 2014
Country/TerritoryNetherlands
CityAmsterdam
Period13/04/1416/04/14

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