research-article

Semantic news recommendation using wordnet and bing similarities

Authors:

Michel Capelle,

Frederik Hogenboom,

Alexander Hogenboom,

Flavius FrasincarAuthors Info & Claims

SAC '13: Proceedings of the 28th Annual ACM Symposium on Applied Computing

Pages 296 - 302

https://doi.org/10.1145/2480362.2480426

Published: 18 March 2013 Publication History

Abstract

While traditionally content-based news recommendation was performed using the word vector space model, more recent approaches also take into account semantics, often through the use of semantic lexicons. However, named entities are rarely taken into account, as they are often absent in such lexicons. Nevertheless, they can play a crucial role in determining user interest for specific news articles. Therefore, in this work, we extend the state-of-the-art semantic lexicon-driven Semantic Similarity (SS) recommendation method by additionally considering named entities. First, as in SS, we calculate similarities between WordNet synonym sets in unread news items and synonym sets in read news items (stored in user profiles). Then, we use the page counts of named entities that are retrieved from the Bing Web search engine to compute named entity similarities between unread and read news items. Results show that our recommendation method, BingSS, outperforms SS in terms of F₁, precision, accuracy, and specificity.

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Cited By

Saifullah SDreżewski RDwiyanto FAribowo AFauziah YCahyana N(2024)Automated Text Annotation Using a Semi-Supervised Approach with Meta Vectorizer and Machine Learning Algorithms for Hate Speech DetectionApplied Sciences10.3390/app1403107814:3(1078)Online publication date: 26-Jan-2024
https://doi.org/10.3390/app14031078
Iana AAlam MPaulheim H(2024)A survey on knowledge-aware news recommender systemsSemantic Web10.3233/SW-22299115:1(21-82)Online publication date: 12-Jan-2024
https://doi.org/10.3233/SW-222991
Starke ASolberg VØverhaug STrattner C(2024)Examining the merits of feature-specific similarity functions in the news domain using human judgmentsUser Modeling and User-Adapted Interaction10.1007/s11257-024-09412-234:4(995-1042)Online publication date: 7-Aug-2024
https://doi.org/10.1007/s11257-024-09412-2
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Index Terms

Semantic news recommendation using wordnet and bing similarities
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
2. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Relevance assessment
    2. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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cover image ACM Conferences

SAC '13: Proceedings of the 28th Annual ACM Symposium on Applied Computing

March 2013

2124 pages

ISBN:9781450316569

DOI:10.1145/2480362

Conference Chairs:
Sung Y. Shin
South Dakota State University, United States
,
José Carlos Maldonado
ICMC - University of São Paulo, Brazil

Copyright © 2013 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: 18 March 2013

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SAC '13: SAC '13

March 18 - 22, 2013

Coimbra, Portugal

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SAC '13 Paper Acceptance Rate 255 of 1,063 submissions, 24%;

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

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Cited By

Saifullah SDreżewski RDwiyanto FAribowo AFauziah YCahyana N(2024)Automated Text Annotation Using a Semi-Supervised Approach with Meta Vectorizer and Machine Learning Algorithms for Hate Speech DetectionApplied Sciences10.3390/app1403107814:3(1078)Online publication date: 26-Jan-2024
https://doi.org/10.3390/app14031078
Iana AAlam MPaulheim H(2024)A survey on knowledge-aware news recommender systemsSemantic Web10.3233/SW-22299115:1(21-82)Online publication date: 12-Jan-2024
https://doi.org/10.3233/SW-222991
Starke ASolberg VØverhaug STrattner C(2024)Examining the merits of feature-specific similarity functions in the news domain using human judgmentsUser Modeling and User-Adapted Interaction10.1007/s11257-024-09412-234:4(995-1042)Online publication date: 7-Aug-2024
https://doi.org/10.1007/s11257-024-09412-2
Wu CWu FHuang YXie X(2023)Personalized News Recommendation: Methods and ChallengesACM Transactions on Information Systems10.1145/353025741:1(1-50)Online publication date: 10-Jan-2023
https://dl.acm.org/doi/10.1145/3530257
Wang JTan JChen JJin H(2021)A Knowledge-aware and Time-sensitive Financial News Recommendation System Based on Firm Relation Derivation2021 International Conference on Data Mining Workshops (ICDMW)10.1109/ICDMW53433.2021.00146(1104-1111)Online publication date: Dec-2021
https://doi.org/10.1109/ICDMW53433.2021.00146
Borovič MFerme MBrezovnik JMajninger SKac KOjsteršek M(2020)Document Recommendations and Feedback Collection Analysis within the Slovenian Open-Access InfrastructureInformation10.3390/info1111049711:11(497)Online publication date: 23-Oct-2020
https://doi.org/10.3390/info11110497
van Huijsduijnen LHoogmoed TKeulers GLangendoen ELangendoen SVos THogenboom FFrasincar FRobal T(2020)Bing-CSF-IDF+: A Semantics-Driven Recommender System for NewsNew Trends in Databases and Information Systems10.1007/978-3-030-54623-6_13(143-153)Online publication date: 17-Aug-2020
https://doi.org/10.1007/978-3-030-54623-6_13
Afolabi IMakinde OOladipupo O(2019)Semantic Web mining for Content-Based Online Shopping Recommender SystemsInternational Journal of Intelligent Information Technologies10.4018/IJIIT.201910010315:4(41-56)Online publication date: Oct-2019
https://doi.org/10.4018/IJIIT.2019100103
Dessì DReforgiato Recupero DFenu GConsoli S(2018)A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame SemanticsMachine Learning Paradigms10.1007/978-3-319-94030-4_2(7-30)Online publication date: 4-Jul-2018
https://doi.org/10.1007/978-3-319-94030-4_2
de Koning EHogenboom FFrasincar F(2018)News Recommendation with CF-IDF+Advanced Information Systems Engineering10.1007/978-3-319-91563-0_11(170-184)Online publication date: 17-May-2018
https://doi.org/10.1007/978-3-319-91563-0_11
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