System and method for finding the recency of an information aggregate

• US 20040088649A1
• Filed: 10/31/2002
• Published: 05/06/2004
• Est. Priority Date: 10/31/2002
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Elder, Michael D., Schirmer, Andrew L., Rokosz, Vaughn T., Schultz, Matthew, Jho, Jason Y.
• Application Number:
  US10/286,262
• Publication Number:
  US 20040088649A1
• Time in Patent Office: Days
• US Class Current: 715/501.1
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

System for evaluating an information aggregate includes a metrics database for storing document indicia including document attributes, associated persons and time-stamped tracked activities; a query engine responsive to a user request and the metrics database for aggregating documents having same, unique attributes in an information aggregate; the query engine further for calculating recency value of the aggregate; and a visualization engine for visualizing recency values for a plurality of aggregates at a client display. Base recency, relative recency, cross-aggregate recency, and normalized cross-aggregate recency metrics are provided.

Claims

1. A method for evaluating information aggregates, comprising:

collecting a plurality of documents having non-unique values on a shared attribute into an information aggregate;

time stamping tracked activities on said documents;

calculating recency of said information aggregate; and

visualizing said recency for a plurality of said information aggregates.

2. The method of claim 1, said recency being base recency calculated for a given aggregate as time elapsed since the last tracked activity for any said document in said given aggregate.

3. The method of claim 1, said recency being relative recency, calculated as a ratio of life-span of said aggregated to age of said aggregate.

4. The method of claim 1, said recency being cross aggregate recency, calculated for an individual aggregate with respect to a collection of aggregates as a number of time periods since an oldest activity across said collection of aggregates minus said base recency for said individual aggregate.

5. The method of claim 1, said recency being normalized cross-aggregate recency calculated for each individual aggregate as the ratio of a number of time periods since the oldest activity across said collection of aggregates minus said base recency for said individual aggregate to said time periods since said oldest activity across said collection of aggregates.

6. A system for evaluating information aggregates, comprising:

means for collecting a plurality of documents having non-unique values on a shared attribute into an information aggregate;

means for time stamping tracked activities on said documents;

means for calculating recency of said information aggregate; and

means for visualizing said recency for a plurality of said information aggregates.

7. System for evaluating an information aggregate, comprising:

a metrics database for storing document indicia including document attributes, associated persons and time-stamped tracked activities;

a query engine responsive to a user request and said metrics database for aggregating documents having same, unique attributes in an information aggregate;

said query engine further for calculating recency value of said aggregate; and

a visualization engine for visualizing said recency values for a plurality of aggregates at a client display.

8. The system of claim 7, said recency being base recency calculated for a given aggregate as time elapsed since the last tracked activity for any said document in said given aggregate.

9. The system of claim 7, said recency being relative recency, calculated as a ratio of life-span of said aggregated to age of said aggregate.

10. The system of claim 7, said recency being cross aggregate recency, calculated for an individual aggregate with respect to a collection of aggregates as a number of time periods since an oldest activity across said collection of aggregates minus said base recency for said individual aggregate.

11. The system of claim 7, said recency being normalized cross-aggregate recency calculated for each individual aggregate as the ratio of a number of time periods since an oldest activity across said collection of aggregates minus said base recency for said individual aggregate to said time periods since said oldest activity across said collection of aggregates.

12. A program storage device readable by a machine, tangibly embodying a program of instructions executable by a machine to perform a method for evaluating information aggregates, said method comprising:

collecting a plurality of documents having non-unique values on a shared attribute into an information aggregate;

time stamping tracked activities on said documents;

calculating recency of said information aggregate; and

visualizing said recency for a plurality of said information aggregates.

13. A program storage device readable by a machine, tangibly embodying a program of instructions executable by a machine to perform a method for evaluating information aggregates, said method comprising:

storing document indicia in a metrics database including document attributes, associated persons and time-stamped tracked activities;

responsive to a user request and said metrics database, aggregating documents having same, unique attributes in an information aggregate;

calculating a recency value of said aggregate; and

visualizing said recency values for a plurality of aggregates at a client display.

14. A computer program product for evaluating information aggregates according to the method comprising

storing document indicia in a metrics database including document attributes, associated persons and time-stamped tracked activities;

responsive to a user request and said metrics database, aggregating documents having same, unique attributes in an information aggregate;

calculating a recency value of said aggregate; and

visualizing said recency values for a plurality of aggregates at a client display.