A contextual tagging method to improve relevance and efficiency of search using 4W1H approach in search systems. (02-Feb-2010)
Title : A contextual tagging method to improve relevance and efficiency of search using 4W1H approach in search systems. Author: Chirag K Barhate Disclosed is a technique that can, not only understand context of the search query, but also be able to match this context with content to return highly relevant results.This document explains a method to capture context of tags with the use of 4W1H classification to improve search results relevance. Every search query we submit is basically a question that we pose to the software/system & every search result we get in return is expected to give us an answer to our question.But current software/systems which implement tagging provide mere keywords based search, which fails to provide enough contextual information to filter out the results based on the 4W1H (who, when, where, what and how) classification of search queries.Thus they lack required relevance of results.Hence there is a definitive need for a system that can understand context of data by an improved method of tagging content.
A contextual tagging method to improve relevance and efficiency of search using 4W1H approach in search systems.
Problem Statement: The Context of the Question (Search Query
retained in existing system of tagging data.
Problem Background :
The Need:
Tag based search has become a vital aspect to decide the usability of any system. Currently search is handled using keyword search or tag based search. Both these systems lack the ability to determine context of the content returned in search.Every search query we submit is basically a question that we pose to the software/system. And every search result we get in return is expected to give us an answer to our question.For this concept to be realized, it is vital to have a technique that can, not only understand context of the search query, but also be able to match this context with content to return highly relevant results. A look at some of the existing search solutions clearly demonstrates the need to implement above principle.
Conventional search lacks intended relevance.
When we search for a particular question using conventional keyword based search systems, we generally do not get back the relevant results. What we get instead is an aggregated list of all pages, which contains the keywords searched or which is tagged with the searched keywords. For example: When we search for questions like
"What are mobile phones used for in India" "Where are mobile phones in India sold?" "How mobile phones work in India"
"When is ideal to buy mobile phones in India" "Who can buy mobile phones in India?"
What I expect to get back is a list of pages that contains content, which is tagged to be the answer to my question. Instead what I get is a list of pages which contains keywords/tags that are included in my search query like "mobile", "phones" and "buy" . This means the search system doest not understand the exact nature of the differences in above questions.
Innovation
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Claim:
Every search query we submit is basically a question that we pose to the software / system and every search result we get in return is expected to give us an answer to our question.This is possible when search query can realize the context of the search.
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Use of an Improved tagging method based on 4W1H (who,when,where,what and how) tag approach helps add context to the system/user generated tags. This context can then be utilized in search algorithms to improve the relevance of search results.
References
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Katsuyuki FUJIHATA Ryutaro KUMON
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Prior Art:
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A* Search Algorithm for Question Answering by...
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