Abstract: Methods for providing a privacy setting for a target user relative to relationships with a number of other users in a social network utilizing an electronic computing device are presented, the method including: causing the electronic computing device to retrieve a current privacy setting for a common profile item, where the common profile item corresponds with the target user and each of the number of other users, and where the common profile item is one of a number of common profile items; causing the electronic computing device to calculate a pseudo-common profile item sensitivity value for the common profile item based on the current privacy settings of the target user and the number of other users; causing the electronic computing device to calculate a final common profile item sensitivity value for the common profile item based on the current privacy setting.

Abstract: Embodiments of the invention provide a system and method for determining preferences from information mashups and, in particular, a system and method for constructing a ranked list from multiple sources. In an exemplary embodiment, the system and method tunably combines multiple ranked lists by computing a score for each item within the list, wherein the score is a function of the associated rank of the item within the list. In one exemplary embodiment, the function is equal to 1/(n^(1/p)), where p is a tuning parameter that enables selection between responsiveness in the combined ranking to one candidate ranked highly in one source versus responsiveness in the combined ranking to a candidate with lower but broader support among the various sources ranking the candidates.

Abstract: The disclosure generally relates to document summarization. Given a document, summarization can be defined as picking k sentences from the original document D such that the constructed summary exhibits two key properties: coverage and orthogonality. In one embodiment of the disclosure, the two requirements are captured in a combinatorial formulation of the problem and presented as an algorithms.

Abstract: A computer-implemented method and system for disabling scraping of electronic data. The method includes receiving an encoding of electronic data to be protected from scraping and adding random redundant code around the encoding of the electronic data upon each request for the electronic data. The electronic data having the redundant code added around the encoding thereof being rendered the same on a display as the encoding without the redundant code added.

Abstract: A method includes parsing input from a requestor, where the input includes at least one of a query and a command that is parsed into a structured query having an indication of at least one data stream or set of data streams and at least one action to be performed on the at least one data stream or set of data streams. The method further includes mapping the structured query into a graph of processing elements that are selected and interconnected so as to execute the structured query; instantiating the graph of processing elements and connecting and initializing the instantiated graph of processing elements with an identified at least one data stream or set of data streams to receive data there from; and outputting a result of the structured query to the requestor.

Abstract: The disclosure generally relates to document summarization. Given a document, summarization can be defined as picking k sentences from the original document D such that the constructed summary exhibits two key properties: coverage and orthogonality. In one embodiment of the disclosure, the two requirements are captured in a combinatorial formulation of the problem and presented as an algorithms.

Abstract: A system and method for determining preferences from information mashups and, in particular, for determining preferences from cross-modality information based on a social welfare function is disclosed. An exemplary embodiment of the invention uses a social welfare function (SWF) to identify a vote computing method from among a group of vote computing methods. The SWF embodies subjective values, e.g. business objectives. The embodiment uses the SWF to identify the vote computing method that combines cross-modality information into a single information mashup in a manner that is most congruent with the subjective values relative to the other vote computing methods. The information mashup may be in the form of a single, merged ranked list.

Abstract: Embodiments of the invention provide a system and method for determining preferences from information mashups and, in particular, a system and method for constructing a ranked list from multiple sources. In an exemplary embodiment, the system and method tunably combines multiple ranked lists by computing a score for each item within the list, wherein the score is a function of the associated rank of the item within the list. In one exemplary embodiment, the function is equal to 1/(n?(1/p)), where p is a tuning parameter that enables selection between responsiveness in the combined ranking to one candidate ranked highly in one source versus responsiveness in the combined ranking to a candidate with lower but broader support among the various sources ranking the candidates.