= lcBodyText.lastIndexOf("";
highlightEndTag = "";
}
if (treatAsPhrase) {
promptText = "Please enter the phrase you'd like to search for:";
} else {
promptText = "Please enter the words you'd like to search for, separated by spaces:";
}
searchText = prompt(promptText, defaultText);
if (!searchText) {
alert("No search terms were entered. Exiting function.");
return false;
}
return highlightSearchTerms(searchText, treatAsPhrase, true, highlightStartTag, highlightEndTag);
}
/*
* This function takes a referer/referrer string and parses it
* to determine if it contains any search terms. If it does, the
* search terms are passed to the highlightSearchTerms function
* so they can be highlighted on the current page.
*/
function highlightGoogleSearchTerms(referrer)
{
// This function has only been very lightly tested against
// typical Google search URLs. If you wanted the Google search
// terms to be automatically highlighted on a page, you could
// call the function in the onload event of your tag,
// like this:
//
//var referrer = document.referrer;
if (!referrer) {
return false;
}
var queryPrefix = "q=";
var startPos = referrer.toLowerCase().indexOf(queryPrefix);
if ((startPos < 0) || (startPos + queryPrefix.length == referrer.length)) {
return false;
}
var endPos = referrer.indexOf("&", startPos);
if (endPos < 0) {
endPos = referrer.length;
}
var queryString = referrer.substring(startPos + queryPrefix.length, endPos);
// fix the space characters
queryString = queryString.replace(/%20/gi, " ");
queryString = queryString.replace(/\+/gi, " ");
// remove the quotes (if you're really creative, you could search for the
// terms within the quotes as phrases, and everything else as single terms)
queryString = queryString.replace(/%22/gi, "");
queryString = queryString.replace(/\"/gi, "");
return highlightSearchTerms(queryString, false);
}
/*
* This function is just an easy way to test the highlightGoogleSearchTerms
* function.
*/
function testHighlightGoogleSearchTerms()
{
var referrerString = "http://www.google.com/search?q=javascript%20highlight&start=0";
referrerString = prompt("Test the following referrer string:", referrerString);
return highlightGoogleSearchTerms(referrerString);
}
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ADD TO JOB CART TO APPLY
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| Job Title: |
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Job Description: Job ID(rr125 ) |
Provide support for marketing decisioning for major financial services, pharmaceutical, direct marketing and e-commerce firms. Perform statistical modeling and data analysis in support of sales and marketing activities. Develop response, profitability, retention and customer behavior models for targeted prospect marketing and cross sell efforts. Recommend analytics based solutions to functional and business areas. Preferred qualifications Strong SAS and knowledge of SQL, data warehouse and database concepts. Knowledge of modeling tools or computer packages such as CART, CHAID, Knowledge Seeker, Enterprise Miner, Neural Works, etc. Experience with credit cards, e-commerce, investment products, insurance or direct marketing a plus. Knowledge of statistical analysis, math modeling, operations research, econometrics.
Recruiter: Rita Raz
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| Salary: |
$65-150K |
Location: |
Nationwide |
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| Job Categories: |
Database Marketing, Marketing |
***