Sentence examples for enriched search from inspiring English sources

It has enriched search results for shoppers with Amazon-like images and prices.

Smarter search will take into account the context and intent of a users' search, as well as past interests or searches, providing truly enriched search queries and search experiences.

In this article we first introduce the platform and present a comparison with existing systems, according to the platform's modules (for cardiology, angiology, PACS archived enriched searching and grid computing), and then RADStation3G is described in detail.

For the metis WebUI (see Fig. 7), Johannes Bayer at the Deutschen Forschungszentrum für Künstliche Intelligenz (DFKI GmbH) took a platform-independent 2D modelling approach and implemented, among other things, a means of enriching search queries (Bayer et al. 2015).

The automatic annotations were enriched with searches for Jatropha orthologues to plant lipid metabolism enzymes annotated by PlantCYC [ 16] and the Arabidopsis Lipid Database [ 17] (TBLASTN/BLASTX bidirectional best hit; e-value 1e-5).

This powerful dataset is being used by several discovery engines to enrich the search experience.

"Machine Learning Harnesses Molecular Dynamics to Discover New Opioid Chemotypes" describes an algorithm that leverages protein motion to enrich the search for active molecules.

Azhar says that the company may eventually try to sell its services to existing portals as a feature that could enrich traditional search results.

To enrich the search behavior of the rangers, a special mutation with a controlling probability is designed to balance the exploration and exploitation at different searching stages and randomness is introduced in determining the coefficients of members to enhance the diversity.

However, it may slow down the search [43] with respect to the scaling factors in the proposed algorithm, at each generation G, the scale factors F1 and F2 of each individual target vector are independently generated according to uniform distribution in (0,1) to enrich the search behavior.

In the current method, DE, GA and ASA algorithms are linked in the variation stage to enrich the searching behavior and enhance the diversity of the population.