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Techniques for dynamic search result update Disclosure Number: IPCOM000248069D
Publication Date: 2016-Oct-24
Document File: 4 page(s) / 79K

Publishing Venue

The Prior Art Database


This disclosure describes a new way to dynamically update search result based on user's input. Techniques provided to allow user to incrementally adding/removing new concept from search criteria based on user's indication of relevance. This lead to more accurate result when user continue search. The described approach allow user to indicate relevant or irrelevant using gesture or any similar mechanism, thus provides an improved, streamlined user experience to review search result and allow user to continuously moving to next page with gradually increased accuracy. No additional window required. No need to moving back to search result list.

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Techniques for dynamic search result update

With current browser based search, a user navigate search results in page order and a modified search either need to be done ina separate tab page, or by replacing current search result pages. There is currently no way to refine a previous search without leaving current page. Keywords and hints used to refine the search can usually be found in the summary of a search result entry. However with current techniques, the user has to either scroll up/down to search text-box to modify the search, or copy/paste twice in a separate tab page.

The techniques described in this disclosure provide a method to help user refine a previous search, and provide a way to dynamically update search result on current page.

Core idea of this disclosure include: a new browser navigation user experience for searching, a way to intelligently narrow down search scope based on web site content and user feedback, a method to provide feedback for a given research result entry like (relevant, irrelevant, exactly), and a method for improving precise matching using website metadata.

Described techniques in this disclosure provide a more efficient way to help user locate expected results.

An overview of a system generating keywords based on user selection is shown in FIG. 1. User selection information include a specific search result entry, and the relevance indication (using either gesture or any similar mechanism). User selection information is sent to Natural Language Processing (NLP) based terms extractor, where metadata of the search result entry is scanned and a list of keyword candidates are provid...