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Vertical selection in the information domain of children

Published: 22 July 2013 Publication History

Abstract

In this paper we explore the vertical selection methods in aggregated search in the specific domain of topics for children between 7 and 12 years old. A test collection consisting of 25 verticals, 3.8K queries and relevant assessments for a large sample of these queries mapping relevant verticals to queries was built. We gather relevant assessment by envisaging two aggregated search systems: one in which the Web vertical is always displayed and in which each vertical is assessed independently from the web vertical. We show that both approaches lead to a different set of relevant verticals and that the former is prone to bias of visually oriented verticals. In the second part of this paper we estimate the size of the verticals for the target domain. We show that employing the global size and domain specific size estimation of the verticals lead to significant improvements when using state-of-the art methods of vertical selection. We also introduce a novel vertical and query representation based on tags from social media and we show that its use lead to significant performance gains.

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Cited By

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  • (2022)Academic Aggregated Search Approach Based on BERT Language Model2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)10.1109/IRASET52964.2022.9737888(1-9)Online publication date: 3-Mar-2022
  • (2022)KidSpell: Making a difference in spellchecking for childrenInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2021.10037332(100373)Online publication date: Jun-2022
  • (2018)Aggregated SearchFoundations and Trends in Information Retrieval10.1561/150000005210:5(365-502)Online publication date: 14-Dec-2018
  • Show More Cited By

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  1. Vertical selection in the information domain of children

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      cover image ACM Conferences
      JCDL '13: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
      July 2013
      480 pages
      ISBN:9781450320771
      DOI:10.1145/2467696
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 22 July 2013

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      Author Tags

      1. aggregated search
      2. children
      3. evaluation
      4. social media
      5. vertical selection

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      JCDL '13
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      JCDL '13: 13th ACM/IEEE-CS Joint Conference on Digital Libraries
      July 22 - 26, 2013
      Indiana, Indianapolis, USA

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      JCDL '13 Paper Acceptance Rate 28 of 95 submissions, 29%;
      Overall Acceptance Rate 415 of 1,482 submissions, 28%

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      View all
      • (2022)Academic Aggregated Search Approach Based on BERT Language Model2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)10.1109/IRASET52964.2022.9737888(1-9)Online publication date: 3-Mar-2022
      • (2022)KidSpell: Making a difference in spellchecking for childrenInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2021.10037332(100373)Online publication date: Jun-2022
      • (2018)Aggregated SearchFoundations and Trends in Information Retrieval10.1561/150000005210:5(365-502)Online publication date: 14-Dec-2018
      • (2016)The Effects of Aggregated Search Coherence on Search BehaviorACM Transactions on Information Systems10.1145/293574735:1(1-30)Online publication date: 22-Sep-2016

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