The intention behind web queries

Ricardo Baeza-Yates, Liliana Calderón-Benavides, Cristina González-Caro

Research output: Book / Book Chapter / ReportResearch Bookspeer-review

135 Scopus citations


The identification of the user's intention or interest through queries that they submit to a search engine can be very useful to offer them more adequate results. In this work we present a framework for the identification of user's interest in an automatic way, based on the analysis of query logs. This identification is made from two perspectives, the objectives or goals of a user and the categories in which these aims are situated. A manual classification of the queries was made in order to have a reference point and then we applied supervised and unsupervised learning techniques. The results obtained show that for a considerable amount of cases supervised learning is a good option, however through unsupervised learning we found relationships between users and behaviors that are not easy to detect just taking the query words. Also, through unsupervised learning we established that there are categories that we are not able to determine in contrast with other classes that were not considered but naturally appear after the clustering process. This allowed us to establish that the combination of supervised and unsupervised learning is a good alternative to find user's goals. From supervised learning we can identify the user interest given certain established goals and categories; on the other hand, with unsupervised learning we can validate the goals and categories used, refine them and select the most appropriate to the user's needs.

Original languageEnglish
Title of host publicationString Processing and Information Retrieval - 13th International Conference, SPIRE 2006, Proceedings
PublisherSpringer Verlag
Number of pages12
ISBN (Print)3540457747, 9783540457749
StatePublished - 2006
Externally publishedYes
Event13th International Conference on String Processing and Information Retrieval, SPIRE 2006 - Glasgow, United Kingdom
Duration: 11 Oct 200613 Oct 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4209 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th International Conference on String Processing and Information Retrieval, SPIRE 2006
Country/TerritoryUnited Kingdom


Dive into the research topics of 'The intention behind web queries'. Together they form a unique fingerprint.

Cite this