NON-UNIQUE IDENTIFIER FOR A GROUP OF MOBILE USERS
Embodiments are directed towards collecting, aggregating and indexing unique and non-unique user data from a plurality of users. The result for a query of this indexed aggregation of user data is provided in a plurality of sub-sets of aggregated user data. Each subset of aggregated user data corresponds to a particular portion of the plurality of users. Also, each of these particular portions of the users is set at least large enough to provide general anonymity for the individual users. User data may be collected by one or more user data suppliers and provided to a user data aggregator. In some embodiments, user data may be collected as unique user data, non-unique user data, or any combination thereof. In some embodiments, user data may be aggregated by zip code, expanded zip code, and/or one or more attributes.
1 . A method for providing relevant user data in response to a query with a network device, comprising:
employing the network device to collect unique and non-unique user data regarding a plurality of users from a plurality of sources;
employing the network device to aggregate the collected user data and index the aggregated user data;
in response to the query, determining a plurality of relevant subsets of aggregated unique and non-unique user data that corresponds to separate portions of the plurality of users, and wherein a number of users in each portion is relatively large enough to provide anonymity for each user in that portion; and
providing a result that includes the determined plurality of subsets of non-unique user data that corresponds to portions of the plurality of users.
2 . The method of claim 1 , wherein providing the result further comprises employing the non-unique user data for use in an online advertising campaign.
3 . The method of claim 1 , wherein the aggregating further comprises aggregating the collected user data based on at least one of a zip code, an expanded nine digit zip code, and an attribute of the user data.
4 . The method of claim 1 , wherein the query is provided from at least one of a buyer of user data and an aggregator device for collected user data.
5 . The method of claim 1 , wherein each of the plurality of subsets includes a weight regarding a relevancy for each subset of non-unique user data to the query.
6 . The method of claim 1 , further comprising determining a minimum portion of the plurality of users that provides anonymity for each individual user in that portion.
7 . The method of claim 1 , further comprising:
selectively decreasing a size of the separate portions of the plurality of users that correspond to the subsets of user data based on an increased amount paid by a buyer of the result; and
selectively increasing a size of the separate portions of the plurality of users that correspond to the subsets of user data based on a decreased amount paid by the buyer of the result.
8 . The method of claim 1 , further comprising providing each source of user data with unique anonymous identifiers, wherein the source reuses the identifiers for subsequent providing of unique user data for a unique user over time.
9 . A system for providing relevant user data in response to a query over a network, comprising:
a network device, including:
a transceiver device that is operative to communicate over the network;
a memory device that is operative to store at least instructions; and
a processor device that is operative to execute instructions that enable actions, comprising:
employing the network device to collect unique and non-unique user data regarding a plurality of users from a plurality of sources;
employing the network device to aggregate the collected user data and index the aggregated user data;
in response to the query, determining a plurality of relevant subsets of aggregated unique and non-unique user data that corresponds to separate portions of the plurality of users, and wherein a number of users in each portion is relatively large enough to provide anonymity for each user in that portion; and
providing a result that includes the determined plurality of subsets of non-unique user data that corresponds to portions of the plurality of users.
10 . The system of claim 9 , wherein providing the result further comprises employing the non-unique user data for use in an online advertising campaign.
11 . The system of claim 9 , wherein the aggregating further comprises aggregating the collected user data based on at least one of a zip code, an expanded nine digit zip code, and an attribute of the user data.
12 . The system of claim 9 , wherein the query is provided from at least one of a buyer of user data and an aggregator device for collected user data.
13 . The system of claim 9 , wherein each of the plurality of subsets includes a weight regarding a relevancy for each subset of non-unique user data to the query.
14 . The system of claim 9 , wherein the actions further comprise determining a minimum portion of the plurality of users that provides anonymity for each individual user in that portion.
15 . The system of claim 9 , wherein the actions further comprise:
selectively decreasing a size of the separate portions of the plurality of users that correspond to the subsets of user data based on an increased amount paid by a buyer of the result; and
selectively increasing a size of the separate portions of the plurality of users that correspond to the subsets of user data based on a decreased amount paid by the buyer of the result.
16 . The system of claim 9 , wherein the actions further comprise providing each source of user data with unique anonymous identifiers, wherein the source reuses the identifiers for subsequent providing of unique user data for a unique user over time.
17 . A processor readable non-transitory storage media that includes instructions for providing relevant user data in response to a query with a network device, wherein the execution of the instructions by a processor enables actions, comprising:
employing the network device to collect unique and non-unique user data regarding a plurality of users from a plurality of sources;
employing the network device to aggregate the collected user data and index the aggregated user data;
in response to the query, determining a plurality of relevant subsets of aggregated unique and non-unique user data that corresponds to separate portions of the plurality of users, and wherein a number of users in each portion is relatively large enough to provide anonymity for each user in that portion; and
providing a result that includes the determined plurality of subsets of non-unique user data that corresponds to portions of the plurality of users.
18 . The media of claim 17 , wherein providing the result further comprises employing the non-unique user data for use in an online advertising campaign.
19 . The media of claim 17 , wherein the aggregating further comprises aggregating the collected user data based on at least one of a zip code, an expanded nine digit zip code, and an attribute of the user data.
20 . The media of claim 17 , wherein the query is provided from at least one of a buyer of user data and an aggregator device for collected user data.
21 . The media of claim 17 , wherein each of the plurality of subsets includes a weight regarding a relevancy for each subset of non-unique user data to the query.
22 . The media of claim 17 , further comprising determining a minimum portion of the plurality of users that provides anonymity for each individual user in that portion.
23 . The media of claim 17 , further comprising:
selectively decreasing a size of the separate portions of the plurality of users that correspond to the subsets of user data based on an increased amount paid by a buyer of the result; and
selectively increasing a size of the separate portions of the plurality of users that correspond to the subsets of user data based on a decreased amount paid by the buyer of the result.
24 . The media of claim 17 , further comprising providing each source of user data with unique anonymous identifiers, wherein the source reuses the identifiers for subsequent providing of unique user data for a unique user over time.