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Analytic Method to Define / Hint Maximum Time Limits for Analyzing Results Displayed by Search Engine

IP.com Disclosure Number: IPCOM000237741D
Publication Date: 2014-Jul-09
Document File: 5 page(s) / 101K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method that defines maximum time limits for analyzing results displayed by search engine

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This is the abbreviated version, containing approximately 48% of the total text.

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Analytic Method to Define / Hint Maximum Time Limits for Analyzing Results Displayed by Search Engine

In the current day web sites / videos / pages of websites displayed as search results are based on the user opted keywords and it has become an obvious belief that search engine will definitely display results that user is looking for. With this assumption the end user goes on spending endless time in analyzing the results displayed by search engine. But there exists many keywords, keyword combinations which does not show up as relevant results. Here the traditional search engine's lacks an engine (software system) to determine/hint the end user with the maximum amount of time to spent in analyzing the search results for a particular keyword or keyword combination.

Use case:

Here are the few use cases that are emerged due to lack of an engine that effectively advocates the end user with the maximum amount of time to be spent in analyzing the search results for a particular keyword or a keyword combination.


- Assume a scenario where an university student (say Person-X) has got an assignment from a professor. The first thing that comes in to the mind of student is to search for the assignment solution in search engine. It is expected that the student spends lot of time in analyzing the search results displayed by the search engine. But after wasting lot of fruitful time in searching, the student might get frustrated with the results displayed by search engine (makes bad experience) and starts applying his thoughts in solving the assignment.

Here in above described scenario the student has spent excess time than required in analyzing the results displayed by the search engine. The core reason behind this behavior is individual's belief that for every keyword search engine displays relevant results. But there exists few keywords or keyword combination that search engine may not effectively provide the results. The current search engine optimization techniques do not provide / hint the end user with

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maximum amount of time to be spent in analyzing results displayed by the search engine for a particular keyword or keyword combination. Hence it leaves a bad experience with the search engine and makes lot of time waste to end user in analyzing irrelevant results.


- Assume a scenario of an IT company where a programmer (say Person-X) has got a complex algorithm and in order to implement that he / she might take help from results displayed by search engine. The keyword opted by the programmer for searching might not turn out to relevant results, but with the belief that search engine displays results he / she might spend lot of time in analyzing each result. Here in this scenario listed, the Person-X has spent excess time than required in analyzing the results displayed by the search engine. The current search engine optimization techniques do not provide / hint the end user with maximum amount of time to be spent in analyzin...