Abstract: A recommendation engine for works of literature uses patterns of flow and element similarities for scoring a first user-rated work of literature against one or more recommendation candidate works of literature. Cluster models are created using meta-data modeling the works of literature, the meta-data having literary element categories and instances within each category. Each instance is described by an index value (position in the literature) and significance value (e.g. weight or significance). Cluster finding process(es) invoked for each instance in each category find Similarity Concept clusters and Consistency Trend clusters, which are recorded into the cluster models representing each work of literature. The cluster model can be printed or displayed so that a user can visually understand the ebb and flow of each literary element in the literature, and may be digitally compared to other cluster models of other works of literature for potential recommendation to a user.

Abstract: Methods, apparatuses, and computer program products for dynamic protection of one or more deployed copies of a master operating system image are provided. Embodiments include monitoring, by an image deployment monitor, an operational state of a deployed copy of a master operating system (OS) image; detecting, by the image deployment monitor, a change in the operational state of the deployed copy of the master OS image; in response to detecting the change, generating, by the image deployment monitor, a configuration recommendation to prevent the change from occurring in operational states of one or more other deployed copies of the master OS image; and providing, by the image deployment monitor, the configuration recommendation to the one or more other deployed copies of the master OS image.

Abstract: A first stream of audio data is received a into a data store. Excess pauses are identified in the audio data. A second stream of audio data is transmitted from the data store comprising the first stream of audio data with the excess pause removed, the second stream of audio data transmitted after a delay that is approximately equal to but no less than the duration of the removed excess pause.

Abstract: Methods, apparatuses, and computer program products for dynamic protection of one or more deployed copies of a master operating system image are provided. Embodiments include monitoring, by an image deployment monitor, an operational state of a deployed copy of a master operating system (OS) image; detecting, by the image deployment monitor, a change in the operational state of the deployed copy of the master OS image; in response to detecting the change, generating, by the image deployment monitor, a configuration recommendation to prevent the change from occurring in operational states of one or more other deployed copies of the master OS image; and providing, by the image deployment monitor, the configuration recommendation to the one or more other deployed copies of the master OS image.

Abstract: A first stream of audio data is received a into a data store. Excess pauses are identified in the audio data. A second stream of audio data is transmitted from the data store comprising the first stream of audio data with the excess pause removed, the second stream of audio data transmitted after a delay that is approximately equal to but no less than the duration of the removed excess pause.

Abstract: A semantic search engine is enhanced to employ user preferences to customize answer output by, for a first user, extracting user preferences and sentiment levels associated with a first question; receiving candidate answer results of a semantic search of the first question; weighting the candidate answer results according to the sentiment levels for each of the user preferences; and producing the selected candidate answers to the first user. Optionally, user preferences and sentiment levels may be accumulated over different questions for the same user, or over different users for similar questions. And, supplemental information may be retrieved relative to a user preference in order to further tune the weighting per the preferences and sentiment levels.

Abstract: An approach is provided for determining vehicle accident risk. The approach determines a current vehicle state of the vehicle during operation of the vehicle. The current vehicle state is based on one or more intra-vehicle factors and one or more extra-vehicle factors that pertaining to the vehicle. The current vehicle state is compared to a number of historic accident-related vehicle states that correspond to a vehicle accidents previously recorded for a number of vehicles. Based on the comparison, the process detects an accident risk that pertains to the vehicle. The driver of the vehicle is then notified of the detected accident risk.

Abstract: A method, system, and/or computer program product presents product recommendations based on input derived from a user's social network. A description of a product selected for purchase by a user is received. A social networking site is searched for information relevant to a characterization the product. The relevant information is characterized according to a social relationship between the user and an other member of the social networking site, a product family of the product, and a product expertise of the other member about the product. Characterized information about the product is then presented to the user.

Abstract: A method, system, and/or computer program product presents product recommendations based on input derived from a user's social network. A description of a product selected for purchase by a user is received. A social networking site is searched for information relevant to a characterization the product. The relevant information is characterized according to a social relationship between the user and an other member of the social networking site, a product family of the product, and a product expertise of the other member about the product. Characterized information about the product is then presented to the user.

Abstract: An approach is provided for determining vehicle accident risk. The approach determines a current vehicle state of the vehicle during operation of the vehicle. The current vehicle state is based on one or more intra-vehicle factors and one or more extra-vehicle factors that pertaining to the vehicle. The current vehicle state is compared to a number of historic accident-related vehicle states that correspond to a vehicle accidents previously recorded for a number of vehicles. Based on the comparison, the process detects an accident risk that pertains to the vehicle. The driver of the vehicle is then notified of the detected accident risk.

Abstract: An approach is provided for evaluating a potential post based on historical data. In the approach, historically highly rated attributes that to previously received highly rated posts are identified. The process receives a potential post from an online Subject Matter Expert (SME). The process analyzes the potential post, using a Natural Language Processing (NLP) routine performed by computer processors. The analysis identifies a lack of one or more of the historically highly rated attributes in the potential post. The process then notifies the SME, based on the analysis, regarding the lack of one or more of the historically highly rated attributes in the potential post.

Abstract: An approach is provided in which a voice management system generates multiple audio test recordings using multiple text-to-speech (TTS) voices that have different acoustic properties. The voice management system determines that a comparison between a first one of the TTS voices and a second one of the TTS voices reaches an acoustic differentiation threshold and, as a result, assigns the first TTS voice to a first character and assigns the second TTS voice to a second character. In turn, the voice management system generates a narrative audio work utilizing the first TTS voice corresponding to the first character and the second TTS voice corresponding to the second character.

Abstract: A first candidate answer to a time-sensitive question received by a question answering (QA) system is identified using a first document. A first temporal confidence subscore of the first candidate answer is then calculated using a first temporal confidence rule. A first general confidence score is then generated based on at least the first temporal confidence subscore. A second candidate answer to the question is identified using a second document. A second temporal confidence subscore of the second candidate answer is then calculated using a second temporal confidence rule. A second general confidence score is then generated based on at least the second temporal confidence subscore. The first general confidence score and the second general confidence score are then compared. Based on this comparison, a final answer is selected from the first candidate answer and the second candidate answer.

Abstract: A first candidate answer to a time-sensitive question received by a question answering (QA) system is identified using a first document. A first temporal confidence subscore of the first candidate answer is then calculated using a first temporal confidence rule. A first general confidence score is then generated based on at least the first temporal confidence subscore. A second candidate answer to the question is identified using a second document. A second temporal confidence subscore of the second candidate answer is then calculated using a second temporal confidence rule. A second general confidence score is then generated based on at least the second temporal confidence subscore. The first general confidence score and the second general confidence score are then compared. Based on this comparison, a final answer is selected from the first candidate answer and the second candidate answer.

Abstract: There are provided a system, a method and a computer program product for creating the social group whose participants are involved in an online conversation. The system aggregates data associated with the online conversation and a group profile, of the social group. The system determines, based on the online conversation data and the group profile, a context of the online conversation and a goal of the social group. The system receives, based on the determined context and the goal, a first bidding from each provider, the first bidding associated with the determined context and the goal, the each provider providing one or more of: goods, services or discounts associated with the context and the goal.

Abstract: There are provided a system, a method and a computer program product for creating the social group whose participants are involved in an online conversation. The system aggregates data associated with the online conversation and a group profile, of the social group. The system determines, based on the online conversation data and the group profile, a context of the online conversation and a goal of the social group. The system receives, based on the determined context and the goal, a first bidding from each provider, the first bidding associated with the determined context and the goal, the each provider providing one or more of: goods, services or discounts associated with the context and the goal.

Abstract: A digital work of literature is vocalized using enhanced text-to-speech (TTS) controls by analyzing a digital work of literature using natural language processing to identify speaking character voice characteristics associated with context of each quote as extracted from the first work of literature; converting the character voice characteristics to audio metadata to control text-to-speech audio synthesis for each quote; transforming the audio metadata into text-to-speech engine commands, each quote being associated with audio synthesis control parameters for the TTS in the context of each the quotes in the work of literature; and inputting the commands to a text-to-speech engine to cause vocalization of the work of literature according to the words of each quote, character voice characteristics of corresponding to each quote, and context corresponding to each quote.

Abstract: There are provided a system, a method and a computer program product for suggesting content to a group. The system identifies a group of users in a social network. The system receives inputs associated with the social network group. The system aggregates the received inputs. The system analyzes the aggregated inputs. The system searches, based on the aggregation and the analysis, one or more tailored content to be delivered to the group in Internet, one or more database and one or more data warehouse. The system delivers the tailored content to the group in the social network.

Abstract: A method, system and computer program product for ensuring a user interface specification accurately describes its corresponding user interface. The system links sections of the user interface code with corresponding user interface objects. Furthermore, the system links these sections of the user interface code with corresponding sections of the user interface specification. Upon detecting a modification to the user interface code which reflects an update to the user interface, the system notifies the user that the user interface specification needs to be updated. By linking the user interface objects to the user interface code and linking the user interface code to the corresponding sections of the user interface specification, appropriate modifications to the user interface specification can be recommended or implemented based on the modifications to the corresponding sections of the user interface code, which reflect the changes to the corresponding objects on the user interface.

Abstract: Dynamically recommending changes to an association between an operating system image and an update group includes monitoring a configuration of a deployed copy of a first master operating system (OS) image; detecting a modification in the configuration of the deployed copy; determining that the configuration of the deployed copy with the modification more closely matches a configuration of a second master OS image than a configuration of the first master OS image; in response to determining that the configuration of the deployed copy with the modification more closely matches the configuration of the second master OS image, generating an association recommendation that recommends associating the deployed copy with a second update group of the second master OS image; and associating the deployed copy with the second update group of the second master OS image instead of the first update group of the first master OS image.