ConceptMap: a conceptual approach for formulating user preferences in large information spaces

Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

6 Citations (Scopus)


In a large information space a user needs to iteratively investigate the data to formulate her preferences for IR systems. In recent years several visualization techniques have been proposed to help a user to better formulate her preferences. However, using these solutions a user needs to explicitly specify her preferences for IR systems in forms of keywords or phrases. In this paper we present ConceptMap, a system that takes the advantage of deep learning and a knowledge lake to provide a conceptual summary of the information space. ConceptMap allows a user to specify her preferences implicitly as a set of concepts without the need to iteratively investigate the information space. It provides a 2D Radial Map of concepts where a user can rank items relevant to her preferences through dragging and dropping. Our experiment results shows that ConceptMap can help users to better formulate their preferences when they need to retrieve varied and comprehensive list of information across a large amount of data.
Original languageEnglish
Title of host publicationWeb Information Systems Engineering – WISE 2019
Subtitle of host publication20th International Conference Hong Kong, China, January 19–22, 2020 Proceedings
EditorsReynold Cheng, Nikos Mamoulis, Yizhou Sun, Xin Huang
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Number of pages16
ISBN (Electronic)9783030342234
ISBN (Print)9783030342227
Publication statusPublished - 2019
EventInternational Conference on Web Information Systems Engineering (20th : 2019) - , Hong Kong
Duration: 26 Nov 201930 Nov 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11881 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Web Information Systems Engineering (20th : 2019)
Abbreviated titleWISE 2019
Country/TerritoryHong Kong


  • Formulating user preferences
  • Conceptual visual summary
  • Conceptual information retrieval


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