Abstract: A method, apparatus and product for identifying a bot agent using behavioral features. The method comprising obtaining a set of behavioral features of a usage of an input device during an interaction of an agent with a page, wherein the set of behavioral features are consistent with a human-generated interaction, wherein the set of behavioral features are generated based on events obtained from a client device used by the agent; automatically estimating whether the agent is a bot based on comparison of the set of behavioral features with one or more additional sets of behavioral features, wherein the one or more additional sets of behavioral features were previously obtained based on interactions of one or more agents with one or more pages; and in response to an estimation that the agent is a bot, performing a responsive action.

Abstract: A method, apparatus and product for identifying a bot agent using behavioral features. The method comprising obtaining a set of behavioral features of a usage of an input device during an interaction of an agent with a page, wherein the set of behavioral features are consistent with a human-generated interaction, wherein the set of behavioral features are generated based on events obtained from a client device used by the agent; automatically estimating whether the agent is a bot based on comparison of the set of behavioral features with one or more additional sets of behavioral features, wherein the one or more additional sets of behavioral features were previously obtained based on interactions of one or more agents with one or more pages; and in response to an estimation that the agent is a bot, performing a responsive action.

Abstract: Data is automatically shared over one or more contact networks which are interrelated by a trust relationship. The data can be shared using a network-based communication service and is stored as a data record in a local data store. The communication service may be implemented as an instant messaging, electronic mail, mobile phone or some other type of communication service. The data record can include data created by a user, a relevance value, a maximum share count and/or other data. The number of times that data may be shared may be configured by the user that generates the data. The relevance of the data may be updated each time the data is shared.

Abstract: A set of log entries is automatically inspected to determine a bug. A training set is utilized to determine clustering of log identifications. Log entries are examined in real-time or retroactively and matched to clusters. Timeframe may also be matched to a cluster based on log entries associated with the timeframe. Error indications may be outputted to a user of the system in respect to a log entry or a timeframe.

Abstract: A set of log entries is automatically inspected to determine a bug. A training set is utilized to determine clustering of log identifications. Log entries are examined in real-time or retroactively and matched to clusters. Timeframe may also be matched to a cluster based on log entries associated with the timeframe. Error indications may be outputted to a user of the system in respect to a log entry or a timeframe.

Abstract: A set of log entries is automatically inspected to determine a bug. A training set is utilized to determine clustering of log identifications. Log entries are examined in real-time or retroactively and matched to clusters. Timeframe may also be matched to a cluster based on log entries associated with the timeframe. Error indications may be outputted to a user of the system in respect to a log entry or a timeframe.

Abstract: A set of log entries is automatically inspected to determine a bug. A training set is utilized to determine clustering of log identifications. Log entries are examined in real-time or retroactively and matched to clusters. Timeframe may also be matched to a cluster based on log entries associated with the timeframe. Error indications may be outputted to a user of the system in respect to a log entry or a timeframe.

Abstract: Data is automatically shared over one or more contact networks which are interrelated by a trust relationship. The data can be shared using a network-based communication service and is stored as a data record in a local data store. The communication service may be implemented as an instant messaging, electronic mail, mobile phone or some other type of communication service. The data record can include data created by a user, a relevance value, a maximum share count and/or other data. The number of times that data may be shared may be configured by the user that generates the data. The relevance of the data may be updated each time the data is shared.