Abstract
With the huge number and diversity of the users, the advertising products and services, the rapid growth of online multimedia resources, the context of information needs are even more broad and complex. Although research in search engine technology has led to various models over the past three decades, the investigation for effectively integrating the dimensions of context to deploy advanced search technology has been limited due to the lack of a unified modeling and evaluation framework. Quantum Theory (QT) has created new and unprecedented means for communicating and computing. Besides computer science, optics, electronics, physics, QT and search engine technology can be combined: interference in user interaction; entanglement in cognition; superposition in word meaning; non-classical probability in information ranking; complex vector spaces in multimedia search. This paper highlights our recent results on QT-inspired search engine technology.
| Original language | English |
|---|---|
| Pages (from-to) | 278-280 |
| Number of pages | 3 |
| Journal | Procedia Computer Science |
| Volume | 7 |
| DOIs | |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 2nd European Future Technologies Conference and Exhibition 2011, FET 11 - Budapest, Hungary Duration: 4 May 2011 → 6 May 2011 |
Keywords
- Hilbert vector spaces
- Information retrieval
- Language and cognition
- Quantum probability theory
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