• DocumentCode
    1773619
  • Title

    User profile based product recommendation on android platform

  • Author

    Amran, Nor Aniza Noor ; Zaini, Norliza ; Samad, M.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA (UiTM), Shah Alam, Malaysia
  • fYear
    2014
  • fDate
    3-5 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    When visiting malls or stores, users are usually served with a variety of products from different brands. Some products clearly reflect their suitability to the user, while a few others do not portray their suitability to the user. For instance, some foods are not suitable for Muslims, i.e. when the food contains ingredients that are not halal. Such case is particularly troublesome in the event where there are no labels or sign on the food products indicating whether they are halal or vegetarian. In such a case, the user may need to scrutinize the food´s ingredients one by one. One of the ways to overcome these problems is by searching the facts on this particular matter on the web. However, this solution consumes the user´s time especially to search for the product´s details. To resolve this issue, in this paper we present an Android-based application called the User Profile Based Product Recommender. Basically, this application provides recommendations to its user based on the user´s profile, e.g. gender, religion and medical condition. According the the recommendations being generated, the application will be able to match suitable products to the user. Additionally, the application provides an easy means in identifying the products, i.e. by scanning the product´s barcode. By having such a simple-to-use application, this application will be a helpful tool in facilitating the users to be wiser in choosing the right products. Android platform is chosen as the hosting platform due to its nature, which is very close and personal to the user.
  • Keywords
    Android (operating system); Internet; bar codes; customer profiles; ethical aspects; food products; recommender systems; Android platform; Muslims; Web; food ingredients; gender; halal food products; medical condition; product barcode scanning; religion; user profile based product recommendation; user profile based product recommender; vegetarian food products; Androids; Databases; Food products; Humanoid robots; Registers; Smart phones; Testing; barcode scanner; personalized product recommender; user profile and android application;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-4654-9
  • Type

    conf

  • DOI
    10.1109/ICIAS.2014.6869557
  • Filename
    6869557