Sentence examples for purchase data with from inspiring English sources
A consumer can keep it private, or share some or all purchase data with other people in WeShop networks (using a nickname).
* Integration of purchase data with geo-locational services.
It includes rich data about those customers and their households, linking purchase data with browsing history, social data and detailed demographics.
The idea of WeShop is similar in some ways to Blippy or Swipely, which both allow you to share your purchase data with others to gain new insight.
By opportunistically combiningour own active purchasing data with contemporary disruption effortsby brand-holders and payment card networks, we gather thefirst empirical dataset concerning this approach.
Akamai will combine acerno's purchasing data with its own Web browsing data to offer Websites an even more refined way to target ads.
Share Data for Personalization: Advertisers and publishers should share as much audience, promotional and purchasing data with each other as possible in order to understand behavior tied to different consumer types.
Online auctioneer company FreeMarkets Inc. saw its shares jump 19% on news that it scrapped a deal to acquire Adexa Inc. of Los Angeles, whose supply chain software lets companies share their inventory, planning and purchasing data with suppliers.
The combination of food-purchasing data with nutrient data offers new opportunities to assess sodium content of processed foods and potentially improved precision in estimating population exposure to sodium (16).
Of course, there were also occasions when it was possible to work directly with purchase data or with passively-measured media exposure data, but the lion's share of research involved asking people direct questions about their behavior and attitudes.
To create this framework, an experimental design applies several CF configurations, which are characterized by different data-reduction techniques, CF methods, and similarity measures, to binary purchase data sets with distinct input data characteristics, i.e., sparsity level, purchase distribution, and item user ratio.
