Sentence examples for preferences generated from inspiring English sources

From the status updates, friendship connections and preferences generated by Facebook and Twitter to search strings on Google, locations on mobile phones and purchasing history on store cards, this is data that's too big to compute easily, yet is so rich that it is being used by institutions in the public and private sectors to identify what people want before they are even aware they want it.

Movie recommendation systems, one of the most popular applications of UGC analysis, aim to suggest new movies to audiences based on their established preferences (generated from historical users' contents).

In Figures 32 and 33 we show the correlation between preferences for trinucleotide and dinucleotide motifs estimated from native baboon non-genic DNA, human intronic DNA, and Rattus coding regions and the corresponding preferences generated by the 64×4 matrices that were used also above.

In addition, DGE analysis of mandarin fish with the two different food preferences generated 9,597,700 clean tags from brain and 9,964,672 clean tags from liver, respectively (Additional file 11).

Rather, these important cultural differences suggest that health preferences generated from Caucasian populations may not fully reflect health preferences among Asians and therefore may not be suitable for use in healthcare decision making in Asia.

But they overestimate their ability to put aside enough money to do that, ensuring that their plans to buy fertiliser meet much the same fate as a typical new-year resolution.A model of such preferences generates several interesting predictions.

It's hard to capture customers' demands and grasp their preferences, generating slow convergence speed and heavy user fatigue.

When combined with real world constraints, maximizing the DM's preferences generates a decision support system (DSS) for solving specific organizational problems.

The four induction factors include (i) recognition of advertised food products (advertisement recognition), (ii) liking the food advertisements on TV (favourite advertisement), (iii) purchase requests induced by TVFA (purchase request), and (iv) product preference generated by TVFA (product preference).

Bezzina et al. [2] proposed that the gradual decline in preference generated by progressive delay schedules may represent a discrimination gradient for reinforcer value, and adopted a standard psychophysical approach to analyse the preference functions, an analytical approach that was also used in the present study.

These instruments measure patient preferences and generate preference or utility scores for respondents' health states on a 0 to 1.0 scale where 0 typically equals dead and 1.0 is full health [ 17].