In this work, we summarise the development of a ranking principle based on quantum probability theory, called the Quantum Probability Ranking Principle (QPRP), and we also provide an overview of the initial experiments performed employing the QPRP. The main difference between the QPRP and the classic Probability Ranking Principle, is that the QPRP implicitly captures the dependencies be- tween documents by means of "quantum interference". Subsequently, the optimal ranking of documents is not based solely on documents' probability of relevance but also on the interference with the previously ranked documents. Our research shows that the application of quantum theory to problems within information retrieval can lead to consistently better retrieval effectiveness, while still being simple, elegant and tractable. Copyright owned by the authors.
|Number of pages||2|
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 1 Jan 2010|
|Event||1st Italian Information Retrieval Workshop, IIR 2010 - Padua, Italy|
Duration: 27 Jan 2010 → 28 Jan 2010
- quantum probability theory
- Quantum Probability Ranking Principle (QPRP)