Estimating interference in the QPRP for subtopic retrieval | Zendy

Guido Zuccon | Zendy; Leif Azzopardi | Zendy; Claudia Hauff | Zendy; C.J. Keith van Rijsbergen | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Estimating interference in the QPRP for subtopic retrieval

Author(s) -

Guido Zuccon,

Leif Azzopardi,

Claudia Hauff,

C.J. Keith van Rijsbergen

Publication year - 2010

Publication title -

qut eprints (queensland university of technology)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/1835449.1835593

Subject(s) - ranking (information retrieval) , computer science , relevance (law) , interference (communication) , interdependence , information retrieval , data mining , telecommunications , channel (broadcasting) , political science , law

The Quantum Probability Ranking Principle (QPRP) has been recently proposed, and accounts for interdependent document relevance when ranking. However, to be instantiated, the QPRP requires a method to approximate the interference" between two documents. In this poster, we empirically evaluate a number of different methods of approximation on two TREC test collections for subtopic retrieval. It is shown that these approximations can lead to significantly better retrieval performance over the state of the art

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research