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A Method and Apparatus for User initiated Business analytics of and from all the published/non copyrighted/freely available data of the entire internet.

IP.com Disclosure Number: IPCOM000198344D
Publication Date: 2010-Aug-05
Document File: 5 page(s) / 142K

Publishing Venue

The IP.com Prior Art Database

Abstract

This disclosure aims at utilizing the countless number of person hours spent over the internet by web surfers/web users/readers to gather data about the web page he is reading currently and evaluate, analyze, format and store that data into a central server and help same/other future users of the same web page retrieve this secondary data to improve their experience with that page. It also aims to create a pop up / (inclusive with web page owners permission)summary of every web page.It also aims at creating a "web page enhancing service" for the web page owners.

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A Method and Apparatus for User initiated Business analytics of and from all the published/non copyrighted/freely available data of the entire internet .

Disclosed is a system for utilizing the countless number of person hours spent over

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the internet by web surfers/web users/readers to gather data about the web page he is reading currently and evaluate, analyse,format and store that data into a central server and help same/other future users of the same web page retrieve this secondary data to improve their experience with that page. It also aims to create a pop up / (inclusive with web page owners permission)summary of every web page.It also aims at creating a "web page enhancing service" for the web page owners.

The world wide web in general and each web page in the internet is having the world's wealth of information which needs to be intelligently and incrementally analyzed in the coming years.Automated search engines and crawler/ analytics software programs have their own advantages and disadvantages.

Every web page will contain text, hypertext,most importantly data needed popularly by web users in the form of numbers.All the current popular search engine crawlers will crawl through them and index the keywords,page ranking etc and create a database of searchable index.They are in all probabilities would rely on automated programs to create searchable index.

For e.g
an automated search engine crawler cannot prepare a 5 to 10 lines summary of any entire page programmatically with ease. It takes an educated user to read that entire page, understand the contents and then summarize the page in 5 lines, and this manual summary will be superior to automated summaries most of the times.

An automated crawler program cannot differentiate between highly useful and less useful data/information present in a given web page.

An automated crawler program cannot find an average reading time for any given web page for an average user.

An automated crawler program cannot predict the usefulness of any given web page, but a web user can.

An end user based Tagging solution, which is currently existing can only tag the page, it doesn't prepare and store a user understandable summary about any web page. It neither can collect the useful data(numbers , simply put) directly or indirectly present in any web page.

This mechanism /solution Tagging web pages concentrates mainly on creating suitable tag for finding current page in future.However this disclosure concentrates on the bigger picture like collecting from each visitor of this web page:

Any web user, if he is willing to do or motivated to do through marketing techniques , can do all the above functions with a high level of accuracy and given the volume of users surfing the web everyday, it is worth taking their voluntary efforts in materializing a new intelligent search and analysis mechanism and architecture.

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This disclosure aims at utilizing the interest , availability of web us...