Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (1)
  • Open Access

    ARTICLE

    Profile and Rating Similarity Analysis for Recommendation Systems Using Deep Learning

    Lakshmi Palaniappan1,*, K. Selvaraj2

    Computer Systems Science and Engineering, Vol.41, No.3, pp. 903-917, 2022, DOI:10.32604/csse.2022.020670

    Abstract Recommendation systems are going to be an integral part of any E-Business in near future. As in any other E-business, recommendation systems also play a key role in the travel business where the user has to be recommended with a restaurant that best suits him. In general, the recommendations to a user are made based on similarity that exists between the intended user and the other users. This similarity can be calculated either based on the similarity between the user profiles or the similarity between the ratings made by the users. First phase of this work concentrates on experimentally analyzing… More >

Displaying 1-10 on page 1 of 1. Per Page