Abstract: A computing system, computer program product, and computer-implemented method for quantitative comment summarization are provided. The method includes receiving a collection of comments, identifying a set of candidate key points corresponding to the collection of comments, and selecting a subset of key points from the set of candidate key points, wherein the selected subset of key points includes key points that are most salient in the collection of comments. The method also includes automatically mapping each comment within the collection of comments to any corresponding key points within the subset of key points based on a match score between each comment and key point pair, as well as generating a summary including the subset of key points and an absolute number or percentage of the comments mapped to each key point.

Abstract: Combining predictions made by multiple different prediction systems, including: obtaining a new input sample; obtaining a combiner which comprises optimal selection values that are configured to maximize a predefined performance measure; automatically applying multiple different prediction systems to the new input sample, to generate predictions; and automatically selectively combining the generated predictions based on the optimal selection values, to generate a combined prediction whose predefined performance measure is improved compared to individual usage of each of the prediction systems.

Abstract: A computing system, computer program product, and computer-implemented method for quantitative comment summarization are provided. The method includes receiving a collection of comments, identifying a set of candidate key points corresponding to the collection of comments, and selecting a subset of key points from the set of candidate key points, wherein the selected subset of key points includes key points that are most salient in the collection of comments. The method also includes automatically mapping each comment within the collection of comments to any corresponding key points within the subset of key points based on a match score between each comment and key point pair, as well as generating a summary including the subset of key points and an absolute number or percentage of the comments mapped to each key point.

Abstract: Combining predictions made by multiple different prediction systems, including: obtaining a new input sample; obtaining a combiner which comprises optimal selection values that are configured to maximize a predefined performance measure; automatically applying multiple different prediction systems to the new input sample, to generate predictions; and automatically selectively combining the generated predictions based on the optimal selection values, to generate a combined prediction whose predefined performance measure is improved compared to individual usage of each of the prediction systems.

Abstract: Apparatus located at a first mobile telephony network, said network comprising a detector for detecting at least one of roaming registration signals and session management signals of roaming mobile telephony users of said first mobile telephony network who are roaming at another mobile telephony networks; and an analytics unit, associated with said detector, for analyzing said detected signals per individual roaming users, and identifying, from said signals, any one of a plurality of predefined cost saving behaviors of respective individual roaming users. The analytics unit provides an identification output for any of said individual roaming users who is identified to be engaging in one of said predefined cost saving behaviors.

Abstract: Apparatus located at a first mobile telephony network, said network comprising a detector for detecting at least one of roaming registration signals and session management signals of roaming mobile telephony users of said first mobile telephony network who are roaming at another mobile telephony networks; and an analytics unit, associated with said detector, for analyzing said detected signals per individual roaming users, and identifying, from said signals, any one of a plurality of predefined cost saving behaviors of respective individual roaming users. The analytics unit provides an identification output for any of said individual roaming users who is identified to be engaging in one of said predefined cost saving behaviors.