The Interactive PRP for Diversifying Document Rankings

被引:0
|
作者
Zuccon, Guido [1 ]
Azzopardi, Leif [1 ]
van Rijsbergen, C. J. Keith [1 ]
机构
[1] Univ Glasgow, Sch Comp Sci, Glasgow, Lanark, Scotland
基金
英国工程与自然科学研究理事会;
关键词
Algorithms; Theory; PRINCIPLE;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The assumptions underlying the Probability Ranking Principle (PRP) have led to a number of alternative approaches that cater or compensate for the PRP's limitations. In this poster we focus on the Interactive PRP (iPRP), which rejects the assumption of independence between documents made by the PRP. Although the theoretical framework of the iPRP is appealing, no instantiation has been proposed and investigated. In this poster, we propose a possible instantiation of the principle, performing the first empirical comparison of the iPRP against the PRP. For document diversification, our results show that the iPRP is significantly better than the PRP, and comparable to or better than other methods such as Modern Portfolio Theory.
引用
收藏
页码:1227 / 1228
页数:2
相关论文
共 50 条
  • [1] Diversifying customer review rankings
    Krestel, Ralf
    Dokoohaki, Nima
    NEURAL NETWORKS, 2015, 66 : 36 - 45
  • [2] Interactive Learning of Pattern Rankings
    Dzyuba, Vladimir
    van Leeuwen, Matthijs
    Nijssen, Siegfried
    De Raedt, Luc
    INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2014, 23 (06)
  • [3] Using Emotion to Diversify Document Rankings
    Moshfeghi, Yashar
    Zuccon, Guido
    Jose, Joemon M.
    ADVANCES IN INFORMATION RETRIEVAL THEORY, 2011, 6931 : 337 - 341
  • [4] Efficient Calculation of Personalized Document Rankings
    Hess, Claudia
    Stein, Klaus
    20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2007, : 2778 - 2783
  • [5] On Perfect Document Rankings for Expert Search
    Macdonald, Craig
    Ounis, Iadh
    PROCEEDINGS 32ND ANNUAL INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2009, : 740 - 741
  • [6] Diversifying Restricted Boltzmann Machine for Document Modeling
    Xie, Pengtao
    Deng, Yuntian
    Xing, Eric P.
    KDD'15: PROCEEDINGS OF THE 21ST ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2015, : 1315 - 1324
  • [7] Synchronizing Rankings via Interactive Communication
    Su, Lili
    Milenkovic, Olgica
    2014 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2014, : 1056 - 1060
  • [8] Diversifying agent's behaviors in interactive decision models
    Pan, Yinghui
    Zhang, Hanyi
    Zeng, Yifeng
    Ma, Biyang
    Tang, Jing
    Ming, Zhong
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 37 (12) : 12035 - 12056
  • [9] Interactive Document Summarization
    Said, Raoufdine
    Guille, Adrien
    ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT V, 2024, 14612 : 177 - 181
  • [10] INTERACTIVE DOCUMENT PREPARATION
    NANARD, J
    NANARD, M
    TSI-TECHNIQUE ET SCIENCE INFORMATIQUES, 1984, 3 (06): : 443 - 451