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Browse Prior Art Database

Categorization of Search Results

IP.com Disclosure Number: IPCOM000028083D
Original Publication Date: 2004-Apr-22
Included in the Prior Art Database: 2004-Apr-22
Document File: 2 page(s) / 43K

Publishing Venue

IBM

Abstract

A program is disclosed that provides a mechanism for displaying categorized results from a search engine. The invention describes a system for a) Grouping search results displayed in a web page or window frame into categories; and b) Presenting those results in the page in non-linear formats according to those categories (e.g., portlets). This categorical representation and non-linear format of representing and displaying search results would drastically enhance the user experience and cut down the time taken by users to find relevant entries among search results. Users would rapidly focus on the relevant category, thus filtering out immediately most of the non-relevant results (i.e., fast and effective pruning of the search tree).

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Categorization of Search Results

Internet Search engines are effective tools for crawling through vast amounts of information, retrieving relevant "hits", and presenting them to the user at an astonishing speed. However, those results are presented in linear formats in indexed pages through which users must literally page and scroll through. Because often search results comprise hundreds if not thousands of retrievals, this linear, non-categorical format forces users to engage in extended browsing and paging (a sort of secondary manual search). Although some search engines indicate the category under which certain result outcomes fall under, those categories are not used as grouping criteria for the sear results.

The invention describes a system for a) Grouping search results displayed in a web page or window frame into categories; and b) Presenting those results in the page in non-linear formats according to those categories (e.g., portlets).

This categorical representation and non-linear format of representing and displaying search results would drastically enhance the user experience and cut down the time taken by users to find relevant entries among search results. Users would rapidly focus on the relevant category, thus filtering out immediately most of the non-relevant results (i.e., fast and effective pruning of the search tree). The search engine would
a) Analyze the first X number of the results retrieved from the search (where X would be determined by the maximum set on which this analysis can take place under a threshold response time).

b) Perform sema...