skip to main content
10.1145/3227609.3227672acmotherconferencesArticle/Chapter ViewAbstractPublication PageswimsConference Proceedingsconference-collections
short-paper

Personalized Recommendation of Socially Relevant Images

Authors Info & Claims
Published:25 June 2018Publication History

ABSTRACT

We present a social image recommender system that offers a hybrid filtering approach, combining content- and knowledge-based filtering with a novel social-based filtering, that selects images of social interest to the user, by e.g. being posted by close friends or family. User activity on social media is used when generating a user profile reflecting user interests and social context, and images are recommended according to a combination of social relevance and topic of interest. Our system handles both cross-source user profiling and image recommendation across social media, currently focusing on images from Facebook and Flickr.

References

  1. Ahmad Abdel-Hafez and Yue Xu. 2013. A Survey of User Modelling in Social Media Websites. Computer and Information Science 6, 4 (2013), 59--71.Google ScholarGoogle ScholarCross RefCross Ref
  2. Fabian Abel, Qi Gao, Geert Jan Houben, and Ke Tao. 2011. Semantic enrichment of twitter posts for user profile construction on the social web. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6643 LNCS, PART 2 (2011), 375--389.Google ScholarGoogle Scholar
  3. F Abel, E Herder, G Houben, N Henze, and D Krause. 2013. Cross-system user modeling and personalization on the SocialWeb. User Model User-Adap Inter 23 (2013), 169--209.Google ScholarGoogle ScholarCross RefCross Ref
  4. C. Aggarwal. 2016. Recommender Systems. Springer. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. R.A. Baeza-Yates and B. Ribeiro-Neto. 2011. Modern Information Retrieval. Addison-Wesley Publishing Company, Boston, MA, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. J. Bobadilla, F. Ortega, A. Hernando, and A. Gutiérrez. 2013. Recommender systems survey. Knowledge-Based Systems 46 (2013), 109--132. arXiv:arXiv:1011.1669v3 Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Mohamed Reda Bouadjenek, Hakim Hacid, and Mokrane Bouzeghoub. 2016. Social networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms. Information Systems 56 (2016), 1--18. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Najeeb Elahi and Randi Karlsen. 2014. Relation based image retrival in online social network. Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication - ICUIMC '14 (2014), 1--7. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Susan Gauch, Mirco Speretta, Aravind Chandramouli, Micarelli Alessandro, and Alessandro Micarelli. 2007. User Profiles for Personalized Information Access. The Adaptive Web 4321 (2007), 54--89.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. M. Rami Ghorab, Dong Zhou, Alexander O'Connor, and Vincent Wade. 2013. Personalised Information Retrieval: Survey and classification. User Modelling and User-Adapted Interaction 23, 4 (2013), 381--443. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Ido Guy, Naama Zwerdling, Inbal Ronen, David Carmel, and Erel Uziel. 2010. Social media recommendation based on people and tags. Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10 (2010), 194. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. R. Karlsen, D. Sundby, and J. Nordbotten. 2016. Development of image collection representations for intelligent distributed systems. Concurrency Computation Practice and Experience 28, 4(2016), 1336--1355. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Manel Mezghani, Corinne Amel Zayani, Ikram Amous, and Faiez Gargouri. 2012. A user profile modelling using social annotations. Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion October 2015 (2012), 969. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani, and Huan Liu. 2017. User Identity Linkage across Online Social Networks. ACM SIGKDD Explorations Newsletter 18, 2 (2017), 5--17. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Zhoubao Sun, Lixin Han, Wenliang Huang, Xueting Wang, Xiaoqin Zeng, Min Wang, and Hong Yan. 2015. Recommender systems based on social networks. Journal of Systems and Software 99 (2015), 109--119. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Jan Vosecky, Dan Hong, and Vincent Y Shen. 2009. User identification across multiple social networks. Networked Digital Technologies, 2009. NDT '09. First International Conference on (2009), 360--365.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Personalized Recommendation of Socially Relevant Images

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      WIMS '18: Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics
      June 2018
      398 pages

      Copyright © 2018 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]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 25 June 2018

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • short-paper
      • Research
      • Refereed limited

      Acceptance Rates

      Overall Acceptance Rate140of278submissions,50%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader