Verification of Top-k algorithm for a family of non-monotonic ranking functions

被引:1
|
作者
Madrid, Nicolas [1 ]
Rusnok, Pavel [1 ]
机构
[1] Univ Ostrava, Inst Res & Applicat Fuzzy Modeling, Ctr Excellence IT4Innovat, Div, CZ-70103 Ostrava, Czech Republic
关键词
top-k problem; query retrieval; non-monotonicity; relational databases; QUERIES;
D O I
10.1109/SMC.2015.462
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We present a top-k algorithm for retrieving tuples according to the order provided by a ranking function that belongs to a subclass of non-monotonic functions. The ranking functions are defined with the values where the maximum score is achieved. We test the proposed algorithm on various real and artificial data with varying variable ranges and different non-monotonic ranking functions.
引用
收藏
页码:2643 / 2648
页数:6
相关论文
共 50 条
  • [21] On the semantics of top-k ranking for objects with uncertain data
    Wang, Chonghai
    Yuan, Li Yan
    You, Jia-Huai
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2011, 62 (07) : 2812 - 2823
  • [22] Fair Top-k Ranking with multiple protected groups
    Zehlike, Meike
    Suehr, Tom
    Baeza-Yates, Ricardo
    Bonchi, Francesco
    Castillo, Carlos
    Hajian, Sara
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2022, 59 (01)
  • [23] Probabilistic top-k and ranking-aggregate queries
    Soliman, Mohamed A.
    Ilyas, Ihab F.
    Chang, Kevin Chen-Chuan
    [J]. ACM TRANSACTIONS ON DATABASE SYSTEMS, 2008, 33 (03):
  • [24] Classification, Ranking, and Top-K Stability of Recommendation Algorithms
    Adomavicius, Gediminas
    Zhang, Jingjing
    [J]. INFORMS JOURNAL ON COMPUTING, 2016, 28 (01) : 129 - 147
  • [25] Active Top-K Ranking from Noisy Comparisons
    Mohajer, Soheil
    Suh, Changho
    [J]. 2016 54TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2016, : 875 - 882
  • [26] Top-k Learning to Rank: Labeling, Ranking and Evaluation
    Niu, Shuzi
    Guo, Jiafeng
    Lan, Yanyan
    Cheng, Xueqi
    [J]. SIGIR 2012: PROCEEDINGS OF THE 35TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2012, : 751 - 760
  • [27] Top-k Algorithm Based on Extraction
    Li, Lingjuan
    Zeng, Xue
    Lu, Guoyu
    [J]. PROCEEDINGS OF THE 2011 2ND INTERNATIONAL CONGRESS ON COMPUTER APPLICATIONS AND COMPUTATIONAL SCIENCE, VOL 1, 2012, 144 : 113 - +
  • [28] EXTERNALITIES AND NON-MONOTONIC PRICE-DISTANCE FUNCTIONS
    GOODMAN, AC
    [J]. URBAN STUDIES, 1979, 16 (03) : 321 - 328
  • [29] Learning a Single Neuron for Non-monotonic Activation Functions
    Wu, Lei
    [J]. INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151, 2022, 151
  • [30] Layered neural networks with non-monotonic transfer functions
    Katayama, K
    Sakata, Y
    Horiguchi, T
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2003, 317 (1-2) : 270 - 298