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Link to original content: https://doi.org/10.1145/1244002.1244291

Semantically enhanced user modeling | Proceedings of the 2007 ACM symposium on Applied computing

Article

Semantically enhanced user modeling

Authors:

Palakorn Achananuparp,

Roberta JohnsonAuthors Info & Claims

SAC '07: Proceedings of the 2007 ACM symposium on Applied computing

Pages 1335 - 1339

https://doi.org/10.1145/1244002.1244291

Published: 11 March 2007 Publication History

Abstract

Content-based implicit user modeling techniques usually employ a traditional term vector as a representation of the user's interest. However, due to the problem of dimensionality in the vector space model, a simple term vector is not a sufficient representation of the user model as it ignores the semantic relations between terms. In this paper, we present a novel method to enhance a traditional term-based user model with WordNet-based semantic similarity techniques. To achieve this, we use word definitions and relationship hierarchies in WordNet to perform word sense disambiguation and employ domain-specific concepts as category labels for the derived user models. We tested our method on Windows to the Universe, a public educational website covering subjects in the Earth and Space Sciences, and performed an evaluation of our semantically enhanced user models against human judgment. Our approach is distinguishable from existing work because we automatically narrow down the set of domain specific concepts from initial domain concepts obtained from Wikipedia and because we automatically create semantically enhanced user models.

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Cited By

Weller TChampin PGandon FMédini LLalmas MIpeirotis P(2018)Compromised Account Detection Based on Clickstream DataCompanion Proceedings of the The Web Conference 201810.1145/3184558.3186569(819-823)Online publication date: 23-Apr-2018
https://dl.acm.org/doi/10.1145/3184558.3186569
Manrique RMariño OSheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)How does the size of a document affect linked open data user modeling strategies?Proceedings of the International Conference on Web Intelligence10.1145/3106426.3109440(1246-1252)Online publication date: 23-Aug-2017
https://dl.acm.org/doi/10.1145/3106426.3109440
Alkan OSenkul P(2012)New Techniques for Adapting Web Site Topology and Ontology to User BehaviorComputer and Information Sciences III10.1007/978-1-4471-4594-3_43(419-427)Online publication date: 30-Oct-2012
https://doi.org/10.1007/978-1-4471-4594-3_43
Show More Cited By

Index Terms

Semantically enhanced user modeling
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Information retrieval
    1. Document representation
      1. Content analysis and feature selection
    2. Users and interactive retrieval
      1. Personalization
  2. World Wide Web
    1. Web searching and information discovery
      1. Personalization

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Published In

cover image ACM Conferences

SAC '07: Proceedings of the 2007 ACM symposium on Applied computing

March 2007

1688 pages

ISBN:1595934804

DOI:10.1145/1244002

Conference Chairs:
Yookun Cho
Seoul National University, Seoul, Korea
,
Roger L. Wainwright
University of Tulsa, Tulsa, Oklahoma
,
Hisham M. Haddad
Kennesaw State University, Kennesaw, Georgia
,
Sung Y. Shin
South Dakota State University, Brookings, South Dakota
,
Program Chair:
Yong Wan Koo
The University of Suwon, Gyeongggi-do, Korea

Copyright © 2007 ACM.

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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Published: 11 March 2007

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SAC07: The 2007 ACM Symposium on Applied Computing

March 11 - 15, 2007

Seoul, Korea

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

Weller TChampin PGandon FMédini LLalmas MIpeirotis P(2018)Compromised Account Detection Based on Clickstream DataCompanion Proceedings of the The Web Conference 201810.1145/3184558.3186569(819-823)Online publication date: 23-Apr-2018
https://dl.acm.org/doi/10.1145/3184558.3186569
Manrique RMariño OSheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)How does the size of a document affect linked open data user modeling strategies?Proceedings of the International Conference on Web Intelligence10.1145/3106426.3109440(1246-1252)Online publication date: 23-Aug-2017
https://dl.acm.org/doi/10.1145/3106426.3109440
Alkan OSenkul P(2012)New Techniques for Adapting Web Site Topology and Ontology to User BehaviorComputer and Information Sciences III10.1007/978-1-4471-4594-3_43(419-427)Online publication date: 30-Oct-2012
https://doi.org/10.1007/978-1-4471-4594-3_43
Bakalov FKonig-Ries BNauerz AWelsch M(2009)Automating Mashups for Next-Generation Enterprise PortalsIT Professional10.1109/MITP.2009.6811:4(6-9)Online publication date: 1-Jul-2009
https://dl.acm.org/doi/10.1109/MITP.2009.68
Safarkhani BTalabeigi MMohsenzadeh MMeybodi M(2009)Deriving Semantic Sessions from Semantic ClustersProceedings of the 2009 International Conference on Information Management and Engineering10.1109/ICIME.2009.131(523-528)Online publication date: 3-Apr-2009
https://dl.acm.org/doi/10.1109/ICIME.2009.131
Safarkhani BMohsenzadeh MRahmani A(2009)Improving Website User Model Automatically Using a Comprehensive Lexical Semantic Resource2009 International Conference on E-Business and Information System Security10.1109/EBISS.2009.5138001(1-5)Online publication date: May-2009
https://doi.org/10.1109/EBISS.2009.5138001
Achananuparp PHu XYang C(2009)Addressing the Variability of Natural Language Expression in Sentence Similarity with Semantic Structure of the SentencesProceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining10.1007/978-3-642-01307-2_52(548-555)Online publication date: 19-Apr-2009
https://dl.acm.org/doi/10.1007/978-3-642-01307-2_52
Nauerz ABakalov FKönig-Ries BWelsch MNg JCouturier CVigder MChechik M(2008)Personalized recommendation of related content based on automatic metadata extractionProceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds10.1145/1463788.1463795(57-71)Online publication date: 27-Oct-2008
https://dl.acm.org/doi/10.1145/1463788.1463795
Tierney BJackson MWainwright RHaddad H(2008)C-SAW---contextual semantic alignment of ontologiesProceedings of the 2008 ACM symposium on Applied computing10.1145/1363686.1364242(2346-2347)Online publication date: 16-Mar-2008
https://dl.acm.org/doi/10.1145/1363686.1364242
Bakalov FKönig-Ries BNauerz AWelsch M(2008)Ontology-Based Multidimensional Personalization Modeling for the Automatic Generation of Mashups in Next-Generation PortalsProceedings of the 2008 First International Workshop on Ontologies in Interactive Systems10.1109/ONTORACT.2008.13(75-82)Online publication date: 1-Sep-2008
https://dl.acm.org/doi/10.1109/ONTORACT.2008.13

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