What is the first thing that anyone surfing the Internet does, when he or she is asked to furnish some information or advice or data? Well, it’s a no-brainer. They pull the information from one of the popular search engines. They key in words and then sift through the searched Web pages to select those that are of interest or relevance to them as they try to pull out information. My research has revealed that most of any user’s search keywords are limited to his current personal and professional life. In other words, most users have a finite (and repetitive) set of keywords that they use to pull content from the vast Internet.
With this finding comes the thought that instead of pulling content from the Internet using search engines, we should have a mechanism to pull this finite (and repetitive) content from the Internet, sort it by recency, frequency, time windows or relevancy (RFTR) and have it pushed to us – either to our email inboxes or to our mobile phones as SMS. This would not only make our handheld gadgets more intelligent but also bring a paradigm shift in the search engine world: a combination of search engine functionality, text mining and text analytics facilitates the concept behind offline personal content push engines.
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