Contextual Query Using Bell Tests
This proposes a novel quantum-inspired method for measuring query relevance in information retrieval, though it appears incremental as it builds on existing HAL-based semantic space models.
The paper tackled the problem of evaluating query effectiveness in information retrieval by developing a quantum-inspired correlation measure based on Bell tests, showing that maximum quantum violation of Bell inequalities occurs at specific document-dependent window sizes.
Tests are essential in Information Retrieval and Data Mining in order to evaluate the effectiveness of a query. An automatic measure tool intended to exhibit the meaning of words in context has been developed and linked with Quantum Theory, particularly entanglement. "Quantum like" experiments were undertaken on semantic space based on the Hyperspace Analogue Language (HAL) method. A quantum HAL model was implemented using state vectors issued from the HAL matrix and query observables, testing a wide range of windows sizes. The Bell parameter S, associating measures on two words in a document, was derived showing peaks for specific window sizes. The peaks show maximum quantum violation of the Bell inequalities and are document dependent. This new correlation measure inspired by Quantum Theory could be promising for measuring query relevance.