Building decision trees to identify the intent of a user query

Marcelo Mendoza; Juan Zamora

doi:10.1007/978-3-642-04595-0_35

Building decision trees to identify the intent of a user query

Marcelo Mendoza, Juan Zamora

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

In this work we explore the use of decision trees to identify the intent of a user query, based on informational, navigational, and transactional categorization. They are based on decision trees, using the C4.5 implementation. The classifier will be built from a query data set larger than any previously used, allowing the conclusions to have a greater reach. Unlike previous works, we will explore features that have not been evaluated before (e.g. PageRank) combined with features based on text and/or click-through data. The results obtained are very precise and the decision tree obtained allows us to illustrate relations among the variables used for classification determining which of these variables are more useful in the classification process.

Original language	English
Title of host publication	Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings
Pages	285-292
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-04595-0_35
State	Published - 2009
Externally published	Yes
Event	13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009 - Santiago, Chile Duration: 28 Sep 2009 → 30 Sep 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	5711 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009
Country/Territory	Chile
City	Santiago
Period	28/09/09 → 30/09/09

Access to Document

10.1007/978-3-642-04595-0_35

Cite this

Mendoza, M., & Zamora, J. (2009). Building decision trees to identify the intent of a user query. In Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings (PART 1 ed., pp. 285-292). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5711 LNAI, No. PART 1). https://doi.org/10.1007/978-3-642-04595-0_35

Mendoza, Marcelo ; Zamora, Juan. / Building decision trees to identify the intent of a user query. Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings. PART 1. ed. 2009. pp. 285-292 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "In this work we explore the use of decision trees to identify the intent of a user query, based on informational, navigational, and transactional categorization. They are based on decision trees, using the C4.5 implementation. The classifier will be built from a query data set larger than any previously used, allowing the conclusions to have a greater reach. Unlike previous works, we will explore features that have not been evaluated before (e.g. PageRank) combined with features based on text and/or click-through data. The results obtained are very precise and the decision tree obtained allows us to illustrate relations among the variables used for classification determining which of these variables are more useful in the classification process.",

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Mendoza, M & Zamora, J 2009, Building decision trees to identify the intent of a user query. in Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5711 LNAI, pp. 285-292, 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009, Santiago, Chile, 28/09/09. https://doi.org/10.1007/978-3-642-04595-0_35

Building decision trees to identify the intent of a user query. / Mendoza, Marcelo; Zamora, Juan.
Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings. PART 1. ed. 2009. p. 285-292 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5711 LNAI, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this work we explore the use of decision trees to identify the intent of a user query, based on informational, navigational, and transactional categorization. They are based on decision trees, using the C4.5 implementation. The classifier will be built from a query data set larger than any previously used, allowing the conclusions to have a greater reach. Unlike previous works, we will explore features that have not been evaluated before (e.g. PageRank) combined with features based on text and/or click-through data. The results obtained are very precise and the decision tree obtained allows us to illustrate relations among the variables used for classification determining which of these variables are more useful in the classification process.

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Mendoza M, Zamora J. Building decision trees to identify the intent of a user query. In Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings. PART 1 ed. 2009. p. 285-292. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-04595-0_35

Building decision trees to identify the intent of a user query

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