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An interaction framework for mobile web search

Published: 24 November 2008 Publication History

Abstract

This paper describes the architecture and the functionalities of a clustering search engine prototypal system, named Matrioshka, whose peculiarity is the flexibility of the interaction framework on which it is based.
Specifically, in this paper we focus on the mobile version of the system. This framework has two main characteristics: firstly, it summarizes the results of one or more search services (like search engines) requests by organizing them into labeled clusters that are better rendered on a small screen than a long ranked list of documents.
Secondly, the user interface provides some high level operators for cluster manipulation, combination, and re-ranking; the user can easily select them from a menu, without much burden to capture the relevant documents hidden in the large set of retrieved ones. These operators are part of a novel conception language, specifically defined for exploring the results retrieved by several internet search services.

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cover image ACM Other conferences
MoMM '08: Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
November 2008
488 pages
ISBN:9781605582696
DOI:10.1145/1497185
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: 24 November 2008

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Author Tags

  1. exploratory search
  2. mobile application
  3. mobile applications and services
  4. query languages
  5. search services
  6. semantic searches
  7. web documents

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Cited By

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  • (2021)Towards Flexible Retrieval, Integration and Analysis of JSON Data Sets through Fuzzy Sets: A Case StudyInformation10.3390/info1207025812:7(258)Online publication date: 22-Jun-2021
  • (2021)J-CO: A Platform-Independent Framework for Managing Geo-Referenced JSON Data SetsElectronics10.3390/electronics1005062110:5(621)Online publication date: 7-Mar-2021
  • (2019)A Fuzzy Technique for On-Line Aggregation of POIs from Social Media: Definition and Comparison with Off-Line Random-Forest ClassifiersInformation10.3390/info1012038810:12(388)Online publication date: 7-Dec-2019
  • (2019)On-line aggregation of POIs from Google and FacebookProceedings of the 34th ACM/SIGAPP Symposium on Applied Computing10.1145/3297280.3297576(1081-1089)Online publication date: 8-Apr-2019
  • (2012)Web Search Results Discovery by Multi-granular GraphsQuantitative Semantics and Soft Computing Methods for the Web10.4018/978-1-60960-881-1.ch006(118-136)Online publication date: 2012
  • (2012)Disambiguated query suggestions and personalized content-similarity and novelty ranking of clustered results to optimize web searchesInformation Processing and Management: an International Journal10.1016/j.ipm.2011.03.00848:3(419-437)Online publication date: 1-May-2012
  • (2010)A Flexible Language for Exploring Clustered Search ResultsScalable Fuzzy Algorithms for Data Management and Analysis10.4018/978-1-60566-858-1.ch007(179-213)Online publication date: 2010
  • (2009)Uncertainty Reduction in Location-Based Retrieval of Georeferenced Web Resources by Moving UsersProceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 0310.1109/WI-IAT.2009.253(163-166)Online publication date: 15-Sep-2009

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