Source: http://www.google.com/patents/US20100030894?dq=6,621,746
Timestamp: 2018-01-16 14:36:47
Document Index: 772200483

Matched Legal Cases: ['art 1602', 'art 1602', 'art 1602', 'art 1602', 'art 1602', 'art 1602']

Patent US20100030894 - Computer program product and method for estimating internet traffic - Google Patents
Site metrics are presented in association with search results. The site metrics are derived from site analytics that uses clickstream data collected from a panel of internet users to generate and present internet activity metrics. Data collected from a community of internet users may be augmented by...http://www.google.com/patents/US20100030894?utm_source=gb-gplus-sharePatent US20100030894 - Computer program product and method for estimating internet traffic
Publication number US20100030894 A1
Application number US 12/495,771
Also published as US7979544, US8135833, US8356097, US20080189408, US20110296014, US20120131187
Publication number 12495771, 495771, US 2010/0030894 A1, US 2010/030894 A1, US 20100030894 A1, US 20100030894A1, US 2010030894 A1, US 2010030894A1, US-A1-20100030894, US-A1-2010030894, US2010/0030894A1, US2010/030894A1, US20100030894 A1, US20100030894A1, US2010030894 A1, US2010030894A1
Inventors David Cancel, Lauren S. Moores, Laura Currea
Original Assignee David Cancel, Moores Lauren S, Laura Currea
Patent Citations (70), Referenced by (64), Classifications (6), Legal Events (6)
Computer program product and method for estimating internet traffic
US 20100030894 A1
receiving click-stream data at a host processing facility from the group of participants that connotes Internet activity of individual members of the group of participants; and
producing, at the host processing facility, an estimate of a target population's Internet activity by scaling the data for each member of the group of participants to the relative size and demographic composition of the target population and the group of participants, wherein scaling comprises applying a weight to the clickstream data in view of the demographic information.
2. The method of claim 1, wherein the clickstream data is from a plurality of sources
3. The method of claim 1, wherein the individual members of the community of participants are uniquely identifiable from the clickstream data.
refining the estimate of the population's Internet activity by applying a bias adjustment to the estimate, wherein
applying the bias adjustment to the estimate comprises applying a weight to a subset of the data from the group of participants, the subset of the data that connotes a specific domain, wherein the bias adjustment is at least one of a domain-specific, page-specific, segment-specific, and user-specific adjustment.
10. The method of claim 1, wherein the size and demographic composition of at least one of the target population and the group of participants is updated periodically.
11. The method of claim 1, wherein the demographic composition groups the population based on at least one of gender, age, income, and geography.
12. The method of claim 1, wherein new members are added periodically to the group of participants.
13. The method of claim 1, wherein members are periodically removed from the group of participants, and wherein upon removing members from the group, adjusting the weight of the clickstream data from the remaining members.
14. The method of claim 1, further comprising, adjusting the weight applied to the clickstream data related to the Internet activity of a new member of the group of participants.
15. The method of claim 14, wherein adjusting the weight includes increasing the weight of a member over time.
16. The method of claim 14, wherein adjusting the weight includes applying a diminished weight for a member and allowing the weight to increase over time.
17. The method of claim 1, wherein the weight relates to at least one of the size of the group of participants and a demographic-specific weight.
18. The method of claim 1, wherein the weight comprises at least one of a static value and a dynamic value.
19. The method of claim 18, wherein the static values are at least one of hardcoded and based upon a heuristic.
scaling comprises applying a weight to the clickstream data in view of the demographic information.
This application is a continuation of the following U.S. patent application, which is incorporated by reference in its entirety: U.S. patent appl. Ser. No. 11/938,716 filed Nov. 12, 2007.
U.S. patent appl. Ser. No. 11/938,716 is a continuation-in-part of the following U.S. patent application, which is incorporated by reference in its entirety: U.S. patent appl. Ser. No. 10/267,978 filed Oct. 9, 2002 which clams the benefit of the following provisional applications, each of which is incorporated by reference in its entirety; U.S. Provisional Appl. No. 60/362,937 filed Mar. 7, 2002 and 60/363,001 filed Mar. 7, 2002.
U.S. patent appl. Ser. No. 11/938,716 is a continuation-in-part of the following U.S. patent application, which is incorporated by reference in its entirety: U.S. patent appl. Ser. No. 11/463,611, filed Aug. 10, 2006 which claims the benefit of the following provisional application, which is incorporated by reference in its entirety; U.S. Provisional Appl. No. 60/706,917 filed Aug. 10, 2005.
U.S. patent appl. Ser. No. 11/938,716 is a continuation-in-part of the following U.S. patent application, which is incorporated by reference in its entirety: U.S. patent appl. Ser. No. 11/860,963 filed Sep. 25, 2007 which claims the benefit of the following provisional application, which is incorporated by reference in its entirety; U.S. Provisional Appl. No. 60/826,879 filed Sep. 25, 2006.
FIG. 16 depicts an engagement type metric chart described herein as an attention metric. The attention metric web page 1600 includes a monthly attention chart 1602 of three web sites. While the timeline associated with this chart is monthly (see the horizontal axis of chart 1602), other timelines are possible including daily, weekly, hourly, and any other time period over which attention may be determined. The monthly attention chart 1602 is presented as a stacked area chart to provide a visual indication of relative magnitudes of each web site presented in the chart 1602. A stacked area chart view may allow a user to readily view how the web sites in the chart each contribute to a total attention for the web sites. In the monthly attention chart 1602, in the month of August 2007 (August 07 on the horizontal axis), a total attention for the three web sites is 3.9%. When compared to the time period of August 2006 (August 06 on the horizontal axis) the group attention has increased 1.6×(from 2.4% to 3.9%). However, the summary at the bottom of the chart 1602 indicates that each web site has contributed to that 1.6×increase in different ways. In the example of FIG. 16, youtube.com has increased attention by 2.09×, whereas apple.com has essentially remained flat (1.01×) and google.com has increased moderately (1.34×). This visual stacked presentation of the attention metric provides a powerful way to identify which of the analyzed web sites has contributed to an overall change, and how each web site has changed relative to the others.
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Cooperative Classification G06Q10/04, G06Q30/02
European Classification G06Q30/02, G06Q10/04
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:CANCEL, DAVID;MOORES, LAUREN S.;CURREA, LAURA;SIGNING DATES FROM 20090907 TO 20091014;REEL/FRAME:023375/0529