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A visualized set association based method for dealing with complex searching

IP.com Disclosure Number: IPCOM000236641D
Publication Date: 2014-May-07
Document File: 4 page(s) / 161K

Publishing Venue

The IP.com Prior Art Database

Abstract

This is a visualized and interactive method for dealing with complex searching: -By visualizing searching conditions in a set association based approach, user can have a much clear understand of how the current search result is come out based on the existing search conditions, as well as how separate conditions are associated with each other and affect the result set. - Any new search conditions will also be added into the set association map in the both preview and final filtered result, this will precisely reveals the search conditions in a natural and intuitive way to help user create and refine search. - Each step of search path is tracked to allow user adjust search condition or go back to any previous search results very conveniently. - Pre-verifies and visualizes search result based on the combination of conditions user created, which avoids possible no-result search.

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A visualized set association based method for dealing with complex searching

With the enterprise fast data increase, how to provide a more efficient searching way for those complex searching scenario has become a big challenge. Most end users will suffer from a common scenario where he is failed to find out the expected result even after trying many times of refining the search criteria.

One of the major reasons is it's hard for users to pick up the right searching condition when he refines the search, not only because it's often difficult to understand the associated relationships among various searching condition, and also how choosing or dropping a certain condition

will affect the filtered result. And this downgrades users' efficiency for narrowing down to an ideal searching criteria.

Currently there are some existed solutions, e.g many website provide advanced search function to help user more precisely find target information from millions of data, but in fact it doesn't work as user expected.

The huge condition candidates are displayed in text label and listed together, which weaken the association among conditions and the association between conditions and search results. It also causes user difficulty to refine search if the results doesn't match his expectation.

ecommerce website supports searching words by using Boolean-logic search operators, but users have to use some specific symbols to identify the different logic, like "(vase -black glass) , (vase silver)". It isn't a natural and intuitive approach for user to understand and use.

What's missed here is an efficient way to guide user clearly and quickly compose a search criteria and quickly refine it in order to finally find the expected result.

The core idea of this invention is to use a visualized set association based method to help user create and refine search criteria in a more efficient way.

a. By visualizing searching conditions in a set association based approach, user can have a much clear understand of how the current search result is come out based on the existing search conditions, as well as how separate conditions are associated with each other and affect the result set.

b. Any new search conditions will also b...