Sentence examples for of a targeted client from inspiring English sources

Another group of researchers designed a framework called LASA, Location Aware Shopping Advertisement, that uses an ontology based formulation of clients and products profiles to generate a list of ads related to the selection history of a targeted client [5].

Consequently, failing to discover the correct location of a targeted client will hinder the process of determining the list of products' titles that should be sent to that client.

In addition, our P-DPA algorithm predicts a set of stores that could be visited and then generate a list of ads for those stores instead of just generating a possibly long list of ads for every store in the discovered area of a targeted client as in LASA.

AdNext uses the business type of the last two locations visited by a targeted client to predict the business type of the next location for that client.

Kim et al. [3] developed a system called, AdNext, that uses Bayesian networks to build a transition matrix for the shopping mall clients in order to predict the business type of the next location that a targeted client could visit.

Instead of predicting the business type, our prediction algorithm, P-DPA, predicts a set of stores that could be visited by a targeted client, and then, uses the predicted stores to generate a list of advertisements for the targeted client.

Consequently, if a targeted client has a plan to only visit one or two stores, then, AdNext will not be able to make any predictions.

Based on the discovered location of the targeted client and the predicted business type, AdNext will start generating a list of ads for every store that lies under the predicted business type and it is also in the area of the detected location.

In addition, AdNext detects the current location of the targeted client by using the shopping mall's access points.

Then, the client can click on any of the predicted stores and a list of advertisements will be generated and sent to him/her, as shown in Fig. 25. Figure 26 shows the details of a chosen ad by the targeted client.

According to our empirical analysis, the proposed mechanism can instantly trace the "physical location" of a targeted service resource identifier (SRI), when the target client is using online social network applications (Facebook, Twitter, etc)., and can analyze the probable target client "identity" associatively.