Search Results - (( java application optimization algorithm ) OR ( based information overload algorithm ))

Refine Results
  1. 1
  2. 2

    A Multi-Criteria Recommendation Technique for Personalized Tourism Experiences by Mustafa, Payandenick, Yin Chai, Wang

    Published 2025
    “…Like other industries, the tourism industry faces the challenge of information overload. The abundance of information can be overwhelming for both tourists and industry stakeholders. …”
    Get full text
    Get full text
    Get full text
    Thesis
  3. 3
  4. 4
  5. 5

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
    Get full text
    Get full text
    Conference or Workshop Item
  6. 6

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
    Get full text
    Get full text
    Final Year Project
  7. 7
  8. 8
  9. 9
  10. 10

    Semantic based Text Summarization for Single Document on Android Mobile Device by Lee , Mellissa Ai Lin

    Published 2012
    “…It leads to information overload whereby readers are trying to deal with more information than they can process. …”
    Get full text
    Get full text
    Final Year Project
  11. 11

    Document clustering for knowledge discovery using nature-inspired algorithm by Mohammed, Athraa Jasim, Yusof, Yuhanis, Husni, Husniza

    Published 2014
    “…As the internet is overload with information, various knowledge based systems are now equipped with data analytics features that facilitate knowledge discovery.This includes the utilization of optimization algorithms that mimics the behavior of insects or animals.This paper presents an experiment on document clustering utilizing the Gravitation Firefly algorithm (GFA).The advantage of GFA is that clustering can be performed without a pre-defined value of k clusters.GFA determines the center of clusters by identifying documents with high force.Upon identification of the centers, clusters are created based on cosine similarity measurement.Experimental results demonstrated that GFA utilizing a random positioning of documents outperforms existing clustering algorithm such as Particles Swarm Optimization (PSO) and K-means.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  12. 12
  13. 13
  14. 14

    Content-based recommender system for an academic social network / Vala Ali Rohani by Vala Ali, Rohani

    Published 2014
    “…In this study, a new algorithm is proposed to represent an enhanced version of content-based recommender systems by utilizing social networking features. …”
    Get full text
    Get full text
    Thesis
  15. 15

    User recommendation algorithm in social tagging system based on hybrid user trust by Mustapha, Norwati, Wong, Pei Voon, Sulaiman, Md. Nasir

    Published 2013
    “…Collaborative Filtering (CF) seems to be the most popular technique in recommender systems to deal with information overload issue but CF suffers from accuracy limitation. …”
    Get full text
    Get full text
    Get full text
    Article
  16. 16
  17. 17

    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
    Get full text
    Get full text
    Thesis
  18. 18
  19. 19

    Document clustering using hybrid lda- kmeans by Foong, O.-M., Ismail, A.N.

    Published 2020
    “…This paper presents a Hybrid Latent Dirichlet Allocation â�� Kmeans (HLDA-Kmeans) Algorithm for document clustering. The overload information has became a challenge for users due to the existence of abundance information and heterogeneous nature of the Web. …”
    Get full text
    Get full text
    Article
  20. 20

    Document clustering using hybrid lda- kmeans by Foong, O.-M., Ismail, A.N.

    Published 2020
    “…This paper presents a Hybrid Latent Dirichlet Allocation â�� Kmeans (HLDA-Kmeans) Algorithm for document clustering. The overload information has became a challenge for users due to the existence of abundance information and heterogeneous nature of the Web. …”
    Get full text
    Get full text
    Article