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. © Selection and peer-review under responsibility of FET11 conference organizers and published by Elsevier B.V.
Aerts, D., Bruza, P., Hou, Y., Jose, J., Melucci, M., Nie, J. Y., & Song, D. (2011). Quantum Theory-inspired search. In Procedia Computer Science (Vol. 7, pp. 278–280). Elsevier B.V. https://doi.org/10.1016/j.procs.2011.09.050