logo
ArticlesAbout
Register | Login
Research Article
JUCS - Journal of Universal Computer Science 27(2): 208-229
https://doi.org/10.3897/jucs.65096 (28 Feb 2021)
Other versions:
XML
PDF
 
 
Twitter
Facebook
Mendeley
Reddit
Notify a colleague
  • Article InfoArticle Info
  • CiteCite
  • MetricsMetrics
  • CommentComment
  • RelatedRelated
  • CitedCited
CrossRef
(6)
(0)
  • Iqbal Qasim, Mujtaba Awan, Sikandar Ali, Shumaila Khan, Mogeeb A. A. Mosleh, Ahmed Alsanad, Hizbullah Khattak, Mahmood Alam, Muhammad Ahmad (2022)
    Affinity Propagation-Based Hybrid Personalized Recommender System. Complexity 2022: 1. CrossRef DOI: 10.1155/2022/6958596
  • Kyoungsoo Bok, Jinwoo Song, Jongtae Lim, Jaesoo Yoo (2022)
    Personalized Search Using User Preferences on Social Media. Electronics 11: 3049. CrossRef DOI: 10.3390/electronics11193049
  • Mahesh Thyluru Ramakrishna, Vinoth Kumar Venkatesan, Rajat Bhardwaj, Surbhi Bhatia, Mohammad Khalid Imam Rahmani, Saima Anwar Lashari, Aliaa M. Alabdali (2023)
    HCoF: Hybrid Collaborative Filtering Using Social and Semantic Suggestions for Friend Recommendation. Electronics 12: 1365. CrossRef DOI: 10.3390/electronics12061365
  • Syed Irteza Hussain Jafri, Rozaida Ghazali, Irfan Javid, Zahid Mahmood, Abdullahi Abdi Abubakar Hassan, Sathishkumar V. E. (2022)
    Deep transfer learning with multimodal embedding to tackle cold-start and sparsity issues in recommendation system. PLOS ONE 17: e0273486. CrossRef DOI: 10.1371/journal.pone.0273486
  • Muhammad Waseem Iqbal, Nadeem Ahmad Ch, Syed Khuram Shahzad, Muhammad Raza Naqvi, Babar Ayub Khan, Zulfiqar Ali (2021)
    User Context Ontology for Adaptive Mobile-Phone Interfaces. IEEE Access 9: 96751. CrossRef DOI: 10.1109/ACCESS.2021.3095300
  • Sonia Souabi, Asmaâ Retbi, Mohammed Khalidi Idrissi, Samir Bennani (2022)
    Learning with Technologies and Technologies in Learning. Chapter 24: 491. CrossRef DOI: 10.1007/978-3-031-04286-7_24
  • Powered by

    This website uses cookies in order to improve your web experience. Read our Cookies Policy

    OK