Abstract: A data processing system collects messages to create user profiles for users of user devices. The messages are collected from various systems and include data regarding user events on user devices in order to create user profiles. The user profiles are stored. In response to a request for information corresponding to a user device, a user profile is identified using data from the request and information from the profile is provided to the requester. A method and system is utilized to select and provide targeted advertisements.

Abstract: A determination is produced as to the number of leads that can be provided from a system to a target business entity, wherein the leads are generated from a plurality of platforms. The platforms may include platforms that comprise system sources for leads, i.e., sources that are internal or organic to the system, for which it is unnecessary to pay third parties for the leads. The platforms may also include platforms that comprise external sources for leads, such that the leads must be purchased from the external sources. In response to parameters related to the target business entity, an estimated number of leads per unit time is generated for a range of payments to the system by the target business entity. The number of leads to be originated from each of the respective platforms is determined by business rules preferences, which may be specified by the target business entity.

Abstract: A data processing system collects messages to create user profiles for users of user devices. The messages are collected from various systems and include data regarding user events on user devices in order to create user profiles. The user profiles are stored. In response to a request for information corresponding to a user device, a user profile is identified using data from the request and information from the profile is provided to the requester. A method and system is utilized to select and provide targeted advertisements.

Abstract: A determination is produced as to the number of leads that can be provided from a system to a target business entity, wherein the leads are generated from a plurality of platforms. The platforms may include platforms that comprise system sources for leads, i.e., sources that are internal or organic to the system, for which it is unnecessary to pay third parties for the leads. The platforms may also include platforms that comprise external sources for leads, such that the leads must be purchased from the external sources. In response to parameters related to the target business entity, an estimated number of leads per unit time is generated for a range of payments to the system by the target business entity. The number of leads to be originated from each of the respective platforms is determined by business rules preferences, which may be specified by the target business entity.

Abstract: An advertising system determines the context of a user accessing a publication media (e.g., an online web site). The advertising system retrieves candidate advertisements from one or more databases based on the user's context (e.g., a user search request). The advertising system selects particular advertisements and then sends them to the user (e.g. for display on the user's terminal or device).

Abstract: A search request is received from a user and the user's context is determined. A publisher is determined for the search request. Candidate advertisements are retrieved from at least one advertisement database to create an advertisement candidate pool, the retrieving based on the user context and the search request. A set of advertisements are selected from the advertisement candidate pool. A georelevance is determined for each of the set of advertisements. The set of advertisements is sorted, wherein the advertisements are sorted based on, at least in part, the georelevance of each of the set of advertisements. The sorted set of advertisements is then transmitted to the user.

Abstract: A determination is produced as to the number of leads that can be provided from a system to a target business entity, wherein the leads are generated from a plurality of platforms. The platforms may include platforms that comprise system sources for leads, i.e., sources that are internal or organic to the system, for which it is unnecessary to pay third parties for the leads. The platforms may also include platforms that comprise external sources for leads, such that the leads must be purchased from the external sources. In response to parameters related to the target business entity, an estimated number of leads per unit time is generated for a range of payments to the system by the target business entity. The number of leads to be originated from each of the respective platforms is determined by business rules preferences, which may be specified by the target business entity.

Abstract: A data processing system collects messages to create user profiles for users of user devices. The messages are collected from various systems and include data regarding user events on user devices. The user profiles are stored in a targeting database. In response to a request for information corresponding to a user device, a user profile is identified using data from the request and information from the profile is provided to the requester.

Abstract: A data processing system collects messages to create user profiles for users of user devices. The messages are collected from various systems and include data regarding user events on user devices. The user profiles are stored in a targeting database. In response to a request for information corresponding to a user device, a user profile is identified using data from the request and information from the profile is provided to the requester.

Abstract: An advertising system logs performance data regarding user interactions with advertisements from a plurality of advertisers. The advertising system uses the performance data to calculate various performance metrics, which are, in turn, used to determine budget weighting values for each of the plurality of advertisers. The advertising system retrieves candidate advertisements from one to more databases based on the user's context (e.g., a user search request). The advertising system selects particular advertisements and/or sorts the advertisements using the budget weighting values, and then sends them to the user (e.g., for display on the user's terminal or device).

Abstract: An advertising system determines the context of a user accessing a publication media (e.g., an online web site). The advertising system retrieves candidate advertisements from one or more databases based on the user's context (e.g., a user search request). The advertising system selects particular advertisements and then sends them to the user (e.g. for display on the user's terminal or device).

Abstract: A determination is produced as to the number of leads that can be provided from a system to a target business entity, wherein the leads are generated from a plurality of platforms. The platforms may include platforms that comprise system sources for leads, i.e., sources that are internal or organic to the system, for which it is unnecessary to pay third parties for the leads. The platforms may also include platforms that comprise external sources for leads, such that the leads must be purchased from the external sources. In response to parameters related to the target business entity, an estimated number of leads per unit time is generated for a range of payments to the system by the target business entity. The number of leads to be originated from each of the respective platforms is determined by business rules preferences, which may be specified by the target business entity.

Abstract: Systems and methods for personalized orchestration of business information are provided. Responsive to a request, personalized curation information for an identified end user may be accessed and may include geo-relevant graph information, collection information specifying collection characteristics corresponding to collections associated with the identified end user, and/or window information specifying window characteristics corresponding to business participants in a listing directory service and having been previously associated with the identified end user consequent to indications of end-user interest. A set of business information related to the one or more business participants may be accessed, may include business listing information, and may be windowed as a function of the window information.

Abstract: A search request is received from a user and the user's context is determined. A publisher is determined for the search request. Candidate advertisements are retrieved from at least one advertisement database to create an advertisement candidate pool, the retrieving based on the user context and the search request. A set of advertisements are selected from the advertisement candidate pool. A georelevance is determined for each of the set of advertisements. The set of advertisements is sorted, wherein the advertisements are sorted based on, at least in part, the georelevance of each of the set of advertisements. The sorted set of advertisements is then transmitted to the user.

Abstract: An advertising system logs performance data regarding user interactions with advertisements from a plurality of advertisers. The advertising system uses the performance data to calculate various performance metrics, which are, in turn, used to determine budget weighting values for each of the plurality of advertisers. The advertising system retrieves candidate advertisements from one or more databases based on the user's context (e.g., a user search request). The advertising system selects particular advertisements and/or sorts the advertisements using the budget weighting values, and then sends them to the user (e.g., for display on the user's terminal or device).

Abstract: A data processing system collects messages to create user profiles for users of user devices. The messages are collected from various systems and include data regarding user events on user devices. The user profiles are stored in a targeting database. In response to a request for information corresponding to a user device, a user profile is identified using data from the request and information from the profile is provided to the requester.

Abstract: An advertising system determines the context of a user accessing a publication media (e.g., an online web site). The advertising system retrieves candidate advertisements from one or more databases based on the user's context (e.g., a user search request). The advertising system selects particular advertisements and then sends them to the user (e.g. for display on the user's terminal or device).

Abstract: A computer system representing user preferences in an N-dimensional preference topography and making recommendations based on such topography. The preference topography depicts user ratings of products in a recommendation database. Each product is represented by a product vector associated with N objectively measurable characteristics. The user rating of a product, therefore, represents the user's preference for the particular combination of the N objectively measurable characteristics making up the product. In making a recommendation of products to the user, the system assigns a rating to each product in the recommendation database based on the preference topography. The system then selects a plurality of maximally unique choices from the rated products for recommendation to the user. These maximally unique choices are calculated to be as diverse from one another as possible but still to the user's liking.

Abstract: A computer system representing user preferences in an N-dimensional preference topography and making recommendations based on such topography. The preference topography depicts user ratings of products in a recommendation database. Each product is represented by a product vector associated with N objectively measurable characteristics. The user rating of a product, therefore, represents the user's preference for the particular combination of the N objectively measurable characteristics making up the product. In making a recommendation of products to the user, the system assigns a rating to each product in the recommendation database based on the preference topography. The system then selects a plurality of maximally unique choices from the rated products for recommendation to the user. These maximally unique choices are calculated to be as diverse from one another as possible but still to the user's liking.

Abstract: A system for sharing playlists and playlist essence with different users. A user desiring to share his or her playlist generates the playlist and a playlist characterization. The playlist characterization is based on acoustic analysis data of one or more songs in the playlist. The playlist and playlist characterization is then transmitted to another end user device. The end user device receiving the shared playlist searches the user's music collection for the songs in the playlist. If a gap is detected in the playlist because the receiving user does not own a particular song, the receiving end user devices automatically selects another song that is owned by the user to fill-in the gap. The song is selected based on the playlist characterization with the aim of preserving the essence of the shared playlist.