A4 Article in conference proceedings
TB-Structure : Collective Intelligence for Exploratory Keyword Search (2017)


Terziyan, V., Golovianko, M., & Cochez, M. (2017). TB-Structure : Collective Intelligence for Exploratory Keyword Search. In A. Calì, D. Gorgan, & M. Ugarte (Eds.), Semantic Keyword-Based Search on Structured Data Sources. COST Action IC1302 Second International KEYSTONE Conference, IKC 2016, Cluj-Napoca, Romania, September 8–9, 2016, Revised Selected Papers (pp. 171-178). Springer International Publishing. Lecture Notes in Computer Science, 10151. https://doi.org/10.1007/978-3-319-53640-8_15


JYU authors or editors


Publication details

All authors or editorsTerziyan, Vagan; Golovianko, Mariia; Cochez, Michael

Parent publicationSemantic Keyword-Based Search on Structured Data Sources. COST Action IC1302 Second International KEYSTONE Conference, IKC 2016, Cluj-Napoca, Romania, September 8–9, 2016, Revised Selected Papers

Parent publication editorsCalì, Andrea; Gorgan, Dorian; Ugarte, Martín

Conference:

  • International keystone conference

ISBN978-3-319-53639-2

Journal or seriesLecture Notes in Computer Science

ISSN0302-9743

Publication year2017

Number in series10151

Pages range171-178

PublisherSpringer International Publishing

Publication countrySwitzerland

Publication languageEnglish

DOIhttps://doi.org/10.1007/978-3-319-53640-8_15

Publication open accessNot open

Publication channel open access

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/55916

Additional informationCOST Action IC1302 Second International KEYSTONE Conference, IKC 2016, Cluj-Napoca, Romania, September 8–9, 2016, Revised Selected Papers.


Abstract

In this paper we address an exploratory search challenge by presenting a new (structure-driven) collaborative filtering technique. The aim is to increase search effectiveness by predicting implicit seeker’s intents at an early stage of the search process. This is achieved by uncovering behavioral patterns within large datasets of preserved collective search experience. We apply a specific tree-based data structure called a TB (There-and-Back) structure for compact storage of search history in the form of merged query trails – sequences of queries approaching iteratively a seeker’s goal. The organization of TB-structures allows inferring new implicit trails for the prediction of a seeker’s intents. We used experiments to demonstrate both: the storage compactness and inference potential of the proposed structure.
See presentation slides: https://ai.it.jyu.fi/IKC-2016.pptx


Keywordscollective intelligence

Free keywordskeyword search; query trail; TB-structure


Contributing organizations


Ministry reportingYes

Reporting Year2017

JUFO rating0


Last updated on 2024-27-03 at 13:03