Cited by 195Information Retrieval and Search BehaviorRecommender Systems and TechniquesWeb Data Mining and Analysis

Mining query logs: turning search usage data into knowledge

Silvestri, Fabrizio·2009·Foundations and Trends® in Information Retrieval

Abstract

Web search engines have stored in their logs information about users since they started to operate. This information often serves many purposes. The primary focus of this survey is on introducing to the discipline of query mining by showing its foundations and by analyzing the basic algorithms and techniques that are used to extract useful knowledge from this (potentially) infinite source of information. We show how search applications may benefit from this kind of analysis by analyzing popular applications of query log mining and their influence on user experience. We conclude the paper by, briefly, presenting some of the most challenging current open problems in this field.

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Crossref · 10.1561/1500000013

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Web search behavior varies across semantic domains.

    “Studying web search behavior, Silvestri (2010) found that it varies across semantic domains, and Aula et al. (2010) that it changes as the task at hand becomes more difficult.”

    From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Silvestri, 2010

  • External factors may impact quality dimensions of social datasets including coverage and representativeness, and affect reliability of observations.

    “external factors may impact various quality dimensions of social datasets, including coverage and representativeness, yet they can also be subtle and easy to overlook, and affect the reliability of observations drawn from these datasets”

    From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Silvestri, 2010

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Authors
Silvestri, F.
Affiliations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" (IT)
Corresponding author
Silvestri, Fabrizio
Venue
Foundations and Trends® in Information Retrieval
Publisher
Emerald
Published
2009-11-29
Volume
4
Issue
1-2
Pages
1-174
ISSN
  • 1554-0669 (ISSN-L)
  • 1554-0677
OpenAlex
W2099966806
Cited by
194
References
232
Citations by year
2026: 1 · 2025: 3 · 2023: 2 · 2022: 4 · 2021: 5 · 2020: 7 · 2019: 12 · 2018: 6 · 2017: 8 · 2016: 39 · 2015: 17 · 2014: 20 · 2013: 26 · 2012: 15
FWCI
37.90
Type
journal article
Language
en
Open access
closed
Locations
  • Foundations and Trends® in Information Retrieval (publishedVersion)
  • ISTI Open Portal (submittedVersion)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
  • Physical Sciences › Computer Science › Information Systems › Web Data Mining and Analysis
Keywords
search engines, user experience, search applications

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