System and a method for identifying client devices used by the same user
A method for associating a device with a user including the action of receiving from a first computerized device operated by a first user a first data content including a plurality of first data items, including clickstream data. An action of setting rules for computing scores representing similarity between a first data item received from the first computerized device and a second data item received from a second computerized device. An action of collecting the plurality of the first data items and the second data items, from the plurality of computerized devices of the plurality of computerized devices. An action of computing the score representing similarity between at least one pair of computerized devices respectively providing the first and the second data items. And an action of determining that the pair of computerized devices are operated by a same user if the score reaches a predetermine value.
1 . A method for associating at least two user devices, wherein the user devices are communicatively coupled via a communication network to at least one content server, the method comprising:
receiving at least two data streams over the communication network, wherein each data stream comprises clickstream data from a different user device of said at least two user devices, wherein each of said data streams is cleaned from any personally identifying information, and wherein each of said data streams comprises at least one clickstream data item;
without access to the personally identifying information, computing an association score representing similarity between a first data item received from a first user device and a second data item received from a second user device; and
determining that said at least two user devices are operated by a same user if said association score reaches the predetermined threshold value within a predetermined time period.
2 . The method according to claim 1 , additionally comprising:
computing a probability value that said at least two user devices is are operated by said same user, said probability value being based on at least two of:
said association score,
said predetermined threshold value,
said predetermined time period,
a number of different data types combined in said total association score,
a ratio between a number of occurrences of a particular value of a particular data type and a number of occurrences of all values of the particular data type,
a ratio between the number of occurrences of the particular value of the particular data type and the number of occurrences of all values of the particular data type occurring in a predetermined time period, and
a predetermined ratio threshold value for the ratio between the number of occurrences of the particular value of the particular data type and the number of occurrences of all values of the particular data type occurring in a predetermined time period.
3 . A non-transitory computer readable medium storing computer code executable by a processor to perform a method for associating a device with a user, wherein the user device arise communicatively coupled via a communication network to at least one content server, the method comprising the actions of:
receiving at least two data streams over the communication network, wherein each data stream comprises clickstream data from a different user device of at least two user devices, wherein each of said data streams is cleaned from any personally identifying information, and wherein each of said data streams comprises at least one clickstream data item;
without access to the personally identifying information, computing an association score representing similarity between a first data item received from a first user device and a second data item received from a second user device; and
determining that said at least two user devices are operated by a same user if said association score reaches a predetermined value within a predetermined time period.
4 . The method according to claim 3 , additionally comprising:
computing a probability value that said at least two user devices are is operated by said same user, said probability value being based on at least two of:
said association score,
said predetermined threshold value,
said predetermined time period,
a number of different data types combined in said association score,
a ratio between number of occurrences of a particular value of a particular data type and a number of occurrences of all values of the particular data type,
a ratio between the number of occurrences of the particular value of the particular data type and the number of occurrences of all values of the particular data type occurring in a predetermined time period, and
a predetermined ratio threshold value for the ratio between the number of occurrences of the particular value of the particular data type and the number of occurrences of all values of the particular data type occurring in a predetermined time period.
5 . A method for determining that two or more user devices are associated with the same user, wherein the user devices are communicatively coupled via a communication network to at least one content server, the method comprising:
receiving clickstream data that is sourced from a least two different user devices over the communication network, wherein the clickstream data is cleaned from any personally identifying information and comprises at least one clickstream data item;
without access to the personally identifying information, computing an association score representing a similarity between a first clickstream data item received from a first user device and a second clickstream data item received from a second user device; and
determining that said first user device and said second user device are operated by a same user if said association score reaches a predetermined threshold value within a predetermined time period.
6 . The method of claim 5 , wherein the association score is based on temporal proximity and, the action of computing the association score comprises determining a period to time between the occurrence of the first clickstream data item and the second clickstream data item.
7 . The method of claim 5 , wherein the association score represents a ratio between the number of occurrences of a particular value of a clickstream data item and the occurrences of all values of the clickstream data item.
8 . A machine-readable storage medium having stored thereon a computer program for determining that two or more user devices are associated with the same user, wherein the user devices are communicatively coupled via a communication network to at least one content server, the computer program comprising a routine of set instructions for causing the machine to perform the steps of:
receiving clickstream data that is sourced from a least two different user devices over the communication network, wherein the clickstream data is cleaned from any personally identifying information and comprises at least one clickstream data item;
without access to the personally identifying information, computing an association score representing a similarity between a first clickstream data item received from a first user device and a second clickstream data item received from a second user device; and
determining that said first user device and said second user device are operated by a same user if said association score reaches a predetermined threshold value within a predetermined time period.
9 . The machine-readable storage medium of claim 8 , wherein the association score is based on temporal proximity and, the action of computing the association score comprises determining a period to time between the occurrence of the first clickstream data item and the second clickstream data item.
10 . The machine-readable storage medium of claim 8 , wherein the association score represents a ratio between the number of occurrences of a particular value of a clickstream data item and the occurrences of all values of the clickstream data item.