Abstract: A system comprising: at least one hardware processor; and a non-transitory computer-readable storage medium having program instructions embodied therewith, the program instructions executable by said at least one hardware processor to, automatically: receive, from each of a plurality of web clients, a request to receive data, wherein said data comprises (i) advertisement copy and (ii) a landing page URL (Uniform Resource Locator) associated with said advertisement copy; determine, for each of said web clients, a client identifier associated with said web client; automatically select a subset of said web clients; send said data only to said subset of said web clients; and identify a web client not included in said subset of web clients is a software robot, when a received redirection request to said landing page URL is associated with a client identifier associated with said web client.

Abstract: A system comprising: at least one hardware processor; and a non-transitory computer-readable storage medium having program instructions embodied therewith, the program instructions executable by said at least one hardware processor to, automatically: receive, from each of a plurality of web clients, a request to receive data, wherein said data comprises (i) advertisement copy and (ii) a landing page URL (Uniform Resource Locator) associated with said advertisement copy; determine, for each of said web clients, a client identifier associated with said web client; automatically select a subset of said web clients; send said data only to said subset of said web clients; and identify a web client not included in said subset of web clients is a software robot, when a received redirection request to said landing page URL is associated with a client identifier associated with said web client.

Abstract: A system comprising: at least one hardware processor; and a non-transitory computer-readable storage medium having program instructions embodied therewith, the program instructions executable by said at least one hardware processor to, automatically: receive, from each of a plurality of web clients, a request to receive data, wherein said data comprises (i) advertisement copy and (ii) a landing page URL (Uniform Resource Locator) associated with said advertisement copy; determine, for each of said web clients, a client identifier associated with said web client; automatically select a subset of said web clients; send said data only to said subset of said web clients; and identify a web client not included in said subset of web clients is a software robot, when a received redirection request to said landing page URL is associated with a client identifier associated with said web client.

Abstract: A method for identifying software robot activity in a communication network, the method comprising: receiving ad delivery requests from multiple clients identified by a unique identifier; selecting a subset of clients from the multiple clients, based on a result of a mathematical operation applied to a character string in each of the unique identifiers; delivering ads only to the subset of clients, wherein each of the ads comprises a landing page URL (uniform resource locator); determining that landing page redirection requests which are received from clients not belonging to the subset are made by one or more software robots.

Abstract: There is provided, in accordance with some embodiments, a computerized method executed by one or more hardware processors, comprising receiving interaction records, where some of the interaction records comprise a cookie value, a URL (Uniform Resource Locator), and a time stamp. The computerized method comprises computing, from the interaction records, interaction sequences each comprising user interactions. Each adjacent pair of user interactions in each interaction sequence has the same unique user identifier, and attributing at least two interaction values to respective user interactions, where the sum of attributed interaction values is equal to the total value, and where each interaction value is computed using rule(s), respective property values, and the total value. The computerized method comprises updating one or more bidding property on an advertising platform based on the attribution, where the bidding property comprises an advertisement bid value or an advertisement keyword.

Abstract: A method for identifying software robot activity in a communication network, the method comprising: receiving ad delivery requests from multiple clients identified by a unique identifier; selecting a subset of clients from the multiple clients, based on a result of a mathematical operation applied to a character string in each of the unique identifiers; delivering ads only to the subset of clients, wherein each of the ads comprises a landing page URL (uniform resource locator); determining that landing page redirection requests which are received from clients not belonging to the subset are made by one or more software robots.

Abstract: A system for classification, including: (a) at least one storage apparatus configured to store information pertaining to a set of ad entity performance data associated with different geographic locations; and (b) at least one processor configured to: define a classification scheme for classification of the performance data into classes based on at least the geographic location identifier in a defining process which includes assigning a score to the geographic location identifier, based on a plurality of quantities of successful occurrences of performance data, each of the quantities is a quantity of successful occurrences having a corresponding geographic location identifier; obtain a respective subset of the performance data; determine, with respect to each class of the plurality of classes, an outcome estimation; compute, for an analyzed performance data, a performance assessment.

Abstract: Provided is a system for communication, including: a non-transitory processor configured to: (a) determine a group of messages including a plurality of optional messages for a user in response to obtaining of user identification information identifying the user; (b) obtain performance information for each one of plurality of optional messages; (c) obtain historical interactions data pertaining to interactions which are included in a series of user interactions, where at least one of the interactions of the series includes communication of digital media over a network connection to the user; and (d) select an elect message out of the plurality of optional messages based on the historical interactions data and on the performance information; and a communication interface operable and configured to transmit information of the elect message over a communication channel.

Abstract: A system, a computerized method, and a computerized service center for classification of items based on their attributes and on a classification scheme that is defined based on information pertaining to each item of a set of items, and which is indicative of: (a) a quantity of occurrences of the item in a sample; (b) a quantity of successful occurrences of the item in the sample; and (c) at least one attribute of the item with regard to at least one variable out of a set of variables.

Abstract: A system, a computerized method, and a computer program product for classification of items based on their attributes and on a classification scheme that is defined based on information pertaining to each item of a set of items, and which is indicative of: (a) a quantity of occurrences of the item in a sample; (b) a quantity of successful occurrences of the item in the sample; and (c) at least one attribute of the item with regard to at least one variable out of a set of variables.

Abstract: A system operable to attribute a value associated with a series of user interactions to individual interactions in the series, the system including: (a) an interface, configured to obtain information of interactions which are included in the series of interactions; and (b) a processor on which an attribution module is implemented, the attribution module is configured to attribute an apportionment of the value to each out of a plurality of interactions of the series, based on a calibrated attribution scheme and on properties relating to at least one interaction out of the series of interactions, thereby enabling efficient utilization of communication resources.

Abstract: A system, a computerized method, and a computer program product for classification of items based on their attributes and on a classification scheme that is defined based on information pertaining to each item of a set of items, and which is indicative of: (a) a quantity of occurrences of the item in a sample; (b) a quantity of successful occurrences of the item in the sample; and (c) at least one attribute of the item with regard to at least one variable out of a set of variables.

Abstract: A method for associating sparse keywords with non-sparse keywords. The method comprises determining from metrics of a plurality of keywords a list of sparse keywords and non-sparse keywords; generating a similarity score for each sparse keyword with respect of each non-sparse keyword; associating a sparse keyword with a non-sparse keyword; and storing the association between the non-sparse keyword and the sparse keyword in a database.

Abstract: A method for cooperation between mobile devices peers representing social relations of the owners of the peers, comprising (a) providing a plurality of peers in a network and cooperating in a manner which utilizes resources of the devices responsive to the social relations.