Combination of Social Networking Data with Other Data Sets for Estimation of Viewership Statistics
Embodiments of the invention combine information from different data sets, such as social networks, advertising networks, and/or panels, each data set comprising statistics about past viewership of content (e.g., advertisements). The result of the combination is a model that, when applied to statistics about viewing of particular content, produces viewing statistics about the particular content that are more accurate than the data of any given one of the different data sets when taken in isolation.
1 . A computer-implemented method comprising:
accessing panel data obtained from a surveying panel and comprising statistics corresponding to households of viewers;
accessing social networking data obtained from a social networking system and comprising statistics corresponding to individual users of the social networking system;
computing an estimation model using both the panel data and the social networking data;
accessing first statistics for an advertisement from the surveying panel and second statistics for the advertisement from the social networking system; and
computing estimated viewing statistics for the advertisement at least in part by providing the first statistics the second statistics as input to the estimation model.
2 . The computer-implemented method of claim 1 , further comprising:
accessing ad network data obtained from an advertising network and comprising statistics corresponding to individual computing devices;
further computing the estimation model using the ad network data;
accessing third statistics for the advertisement from the advertising network; and
further computing the estimated viewing statistics at least in part by providing the third statistics as input to the estimation model.
3 . The computer-implemented method of claim 2 , wherein the ad network data comprises:
statistics on presentations of advertisements to the computing devices; and
browsing histories associated with ones of the computing devices.
4 . The computer-implemented method of claim 1 , wherein the panel data comprises:
statistics on presentations of advertisements to the households; and
demographic data about ones of the households.
5 . The computer-implemented method of claim 1 , wherein the social networking data comprises, for each of a plurality of the individual users of the social networking system:
statistics on presentations of advertisements to the user; and
user-specific information about the user specified by the user.
6 . The computer-implemented method of claim 5 , further comprising:
identifying, for the user, a portion of the user-specific information that other portions of the user-specific information indicate is inaccurate;
determining a probable value for the portion based on the other portions of the user-specific information; and
modifying the portion to the probable value, before deriving the hybrid data.
7 . The computer-implemented method of claim 1 , wherein the estimated viewing statistics comprise, for each of a plurality of demographic attributes, an estimated reach value and an estimated frequency value for the advertisement when presented to viewers having the demographic attribute.
8 . A computer-readable storage medium having executable computer program instructions embodied therein that when executed by a processor perform actions comprising:
accessing panel data obtained from a surveying panel and comprising statistics corresponding to households of viewers;
accessing social networking data obtained from a social networking system and comprising statistics corresponding to individual users of the social networking system;
computing an estimation model using both the panel data and the social networking data;
accessing first statistics for an advertisement from the surveying panel and second statistics for the advertisement from the social networking system; and
computing estimated viewing statistics for the advertisement at least in part by providing the first statistics the second statistics as input to the estimation model.
9 . The computer-readable storage medium of claim 8 , the actions further comprising:
accessing ad network data obtained from an advertising network and comprising statistics corresponding to individual computing devices;
further computing the estimation model using the ad network data;
accessing third statistics for the advertisement from the advertising network; and
further computing the estimated viewing statistics at least in part by providing the third statistics as input to the estimation model.
10 . The computer-readable storage medium of claim 9 , wherein the ad network data comprises:
statistics on presentations of advertisements to the computing devices; and
browsing histories associated with ones of the computing devices.
11 . The computer-readable storage medium of claim 8 , wherein the panel data comprises:
statistics on presentations of advertisements to the households; and
demographic data about ones of the households.
12 . The computer-readable storage medium of claim 8 , wherein the social networking data comprises, for each of a plurality of the individual users of the social networking system:
statistics on presentations of advertisements to the user; and
user-specific information about the user specified by the user.
13 . The computer-readable storage medium of claim 12 , the actions further comprising:
identifying, for the user, a portion of the user-specific information that other portions of the user-specific information indicate is inaccurate;
determining a probable value for the portion based on the other portions of the user-specific information; and
modifying the portion to the probable value, before deriving the hybrid data.
14 . The computer-readable storage medium of claim 8 , wherein the estimated viewing statistics comprise, for each of a plurality of demographic attributes, an estimated reach value and an estimated frequency value for the advertisement when presented to viewers having the demographic attribute.
15 . A computer system comprising:
a computer processor; and
a computer program executable by the computer processor and when executed performing actions comprising:
accessing panel data obtained from a surveying panel and comprising statistics corresponding to households of viewers;
accessing social networking data obtained from a social networking system and comprising statistics corresponding to individual users of the social networking system;
computing an estimation model using both the panel data and the social networking data;
accessing first statistics for an advertisement from the surveying panel and second statistics for the advertisement from the social networking system; and
computing estimated viewing statistics for the advertisement at least in part by providing the first statistics the second statistics as input to the estimation model.
16 . The computer system of claim 15 , the actions further comprising:
accessing ad network data obtained from an advertising network and comprising statistics corresponding to individual computing devices;
further computing the estimation model using the ad network data;
accessing third statistics for the advertisement from the advertising network; and
further computing the estimated viewing statistics at least in part by providing the third statistics as input to the estimation model.
17 . The computer system of claim 16 , wherein the ad network data comprises:
statistics on presentations of advertisements to the computing devices; and
browsing histories associated with ones of the computing devices.
18 . The computer system of claim 15 , wherein the panel data comprises:
statistics on presentations of advertisements to the households; and
demographic data about ones of the households.
19 . The computer system of claim 15 , wherein the social networking data comprises, for each of a plurality of the individual users of the social networking system:
statistics on presentations of advertisements to the user; and
user-specific information about the user specified by the user.
20 . The computer system of claim 15 , wherein the estimated viewing statistics comprise, for each of a plurality of demographic attributes, an estimated reach value and an estimated frequency value for the advertisement when presented to viewers having the demographic attribute.