IDEAS home Printed from https://ideas.repec.org/a/wly/jnljam/v2013y2013i1n248084.html

Multiangle Social Network Recommendation Algorithms and Similarity Network Evaluation

Author

Listed:
  • Jinyu Hu
  • Zhiwei Gao
  • Weisen Pan

Abstract

Multiangle social network recommendation algorithms (MSN) and a new assessment method, called similarity network evaluation (SNE), are both proposed. From the viewpoint of six dimensions, the MSN are classified into six algorithms, including user‐based algorithm from resource point (UBR), user‐based algorithm from tag point (UBT), resource‐based algorithm from tag point (RBT), resource‐based algorithm from user point (RBU), tag‐based algorithm from resource point (TBR), and tag‐based algorithm from user point (TBU). Compared with the traditional recall/precision (RP) method, the SNE is more simple, effective, and visualized. The simulation results show that TBR and UBR are the best algorithms, RBU and TBU are the worst ones, and UBT and RBT are in the medium levels.

Suggested Citation

  • Jinyu Hu & Zhiwei Gao & Weisen Pan, 2013. "Multiangle Social Network Recommendation Algorithms and Similarity Network Evaluation," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnljam:v:2013:y:2013:i:1:n:248084
    DOI: 10.1155/2013/248084
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2013/248084
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/248084?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jinyu Hu & Zhiwei Gao, 2012. "Modules Identification in Gene Positive Networks of Hepatocellular Carcinoma Using Pearson Agglomerative Method and Pearson Cohesion Coupling Modularity," Journal of Applied Mathematics, Hindawi, vol. 2012, pages 1-21, September.
    2. Jinyu Hu & Zhiwei Gao, 2012. "Modules Identification in Gene Positive Networks of Hepatocellular Carcinoma Using Pearson Agglomerative Method and Pearson Cohesion Coupling Modularity," Journal of Applied Mathematics, John Wiley & Sons, vol. 2012(1).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yunquan Song & Ling Jian & Lu Lin, 2013. "Block Empirical Likelihood for Longitudinal Single‐Index Varying‐Coefficient Model," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jnljam:v:2013:y:2013:i:1:n:248084. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/4185 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.