IP Library Granted Patent US 7,933,906
Granted Patent B2
US 7,933,906 · App. 11/439,094 · Granted Apr 26, 2011

Method and system for assessing relevant properties of work contexts for use by information services

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Quick Facts
Patent No.
US 7,933,906
App. No.
11/439,094
Granted
Apr 26, 2011
Kind
B2
Abstract

An information retrieval system for automatically retrieving information related to the context of an active task being manipulated by a user. The system observes the operation of the active task and user interactions, and utilizes predetermined criteria to generate context representation of the active task that are relevant to the context of the active task. The information retrieval system then processes the context representation to generate queries or search terms for conducting an information search. The information retrieval system determines the relevance of a word to the context by utilizing an adaptive weighting system. The information retrieval system assigns varying weights to different attributes of a word and calculates an accumulated weight of the word by accumulating all weights assigned to the word. The attributes may include word size, style, location of the word, etc. The system then ranks the importance of words based on their respective accumulated weight, and chooses words that rank within a predetermined number from the top to form search terms to conduct an information search using various data sources.

Claims (19)

1. A method for determining an emphasis status of a text item, the method comprising:

accessing information related to a stylistic attribute of each of a first plurality of text items;

determining a first representative stylistic attribute value of the first plurality of text items based on a first frequency of occurrence of the stylistic attribute in the first plurality of text items of an active computer task;

determining a genre associated with the active computer task;

for each of the first plurality of text items, assigning a first weight with a first magnitude, the first magnitude being determined based on the genre and the first representative stylistic attribute;

accessing information related to the stylistic attribute of a first text item in the first plurality of text items;

comparing the stylistic attribute of the first text item with the first representative stylistic attribute value of the first plurality of text items to determine a first emphasis status of the first text item;

storing the first emphasis status at least temporarily in a memory device;

accessing information related to a stylistic attribute of each of a second different plurality of text items;

determining a second different representative stylistic attribute value of the second plurality of text items based on a second different frequency of occurrence of the stylistic attribute in the second plurality of text items;

accessing information related to the stylistic attribute of a second text item in the second plurality of text items;

comparing the stylistic attribute of the second text item with the second representative stylistic attribute value of the second plurality of text items to determine a second different emphasis status of the second text item; and

storing the second emphasis status at least temporarily in a memory device.

2. The method of claim 1 , wherein the stylistic attribute is selected from the group consisting of font size and line height.

3. The method of claim 1 , wherein the first text item is considered as emphasized in response to the stylistic attribute of the first text item being larger than the representative stylistic attribute value.

4. The method of claim 1 , comprising:

for each of the first plurality of text items, assigning an associated weight that is determined based on the first representative stylistic attribute value;

ranking the first plurality of text items based on the associated weights assigned to each of the first plurality of text items to produce a first plurality of ranked text items; and

generating and storing a subset of the first plurality of text that is selected from the first plurality of text items based on the first plurality of ranked text items.

Assignments (2)
SECURITY AGREEMENT Recorded Dec 28, 2011
From: PERFECT MARKET, INC.
To: VENTURE LENDING & LEASING VI, INC.
Reel/Frame 027456/0701 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 9, 2008
From: HAMMOND, KRISTIAN; BUDZIK, JEROME; BIRNBAUM, LAWRENCE
To: NORTHWESTERN UNIVERSITY
Reel/Frame 021654/0613 →