Abstract: Methods, systems, and computer program products for driving anomaly detection based on spatio-temporal landscape-specific driving models are provided herein.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: capturing a wireless signal of a target entity, wherein the wireless signal provides the direction of the target entity with respect to a traveling entity; generating a location profile for the traveling entity, wherein the generating comprises: capturing, using an image capture device, at least one image of the environment surrounding the traveling entity; and determining movement information of the traveling entity, wherein the movement information comprises directional information and speed information; determining the location of the target entity, in view of the environment surrounding the traveling entity; and providing navigation details based upon the location profile, wherein the navigation details comprise instructions for navigating from the location of the traveling entity to the location of the target entity. Other aspects are described and claimed.

Abstract: One embodiment provides a method including identifying malicious information spreading in an information-exchange network; classifying at least one topic of the malicious information; determining a potential sub-network for future spread of the malicious information based on the at least one topic classified; and attenuating a potential future spread of the malicious information via at least one of: automatically propagating a countervailing message to the potential sub-network; and prompting manual intervention for propagating a countervailing message to the potential sub-network. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods, systems, and computer program products for driving anomaly detection based on spatio-temporal landscape-specific driving models are provided herein.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: capturing a wireless signal of a target entity, wherein the wireless signal provides the direction of the target entity with respect to a traveling entity; generating a location profile for the traveling entity, wherein the generating comprises: capturing, using an image capture device, at least one image of the environment surrounding the traveling entity; and determining movement information of the traveling entity, wherein the movement information comprises directional information and speed information; determining the location of the target entity, in view of the environment surrounding the traveling entity; and providing navigation details based upon the location profile, wherein the navigation details comprise instructions for navigating from the location of the traveling entity to the location of the target entity. Other aspects are described and claimed.

Abstract: A data handling system includes at least two host devices. For a particular search query that is received by a first host device, a preliminary set of search results is therein generated. The first host system maps the query to one or more topics that are representative to the query. The first host system provides topical click data associated with the topic to a machine-learning module located within a second host device that determines a relevancy score of the result utilizing the topical click data. The first host system obtains the relevancy score of the result and re-ranks the order of the result within a set of results based upon the relevancy score.

Abstract: For a particular search query that is received by a host system, a preliminary set of search results is generated. The host system maps the query to one or more topics that are representative to the query. The host system provides topical click data associated with the topic to a machine-learning module that determines a relevancy score of the result utilizing the topical click data. The host system re-ranks the order of the result within a set of results based upon the relevancy score.

Abstract: Methods, systems, and computer program products for cognitive based optimal grouping of users and trip planning are provided herein. A computer-implemented method includes generating, for each of multiple users, a temporally-related driving skill model pertaining to each of multiple topographies, wherein the model is based on items of driving-related data associated with the users and topography-related information of trips driven by the users; selecting users to participate in a ride-sharing trip in a given vehicle based on the models and details of the ride-sharing trip; determining a route for the trip based on the models of the selected users and environmental factors; creating a schedule for the trip by assigning the selected users to drive during distinct portions of the route based on the models of the selected users and characteristics of the determined route; and outputting the schedule to at least the selected users.

Abstract: One embodiment provides a method including identifying malicious information spreading in an information-exchange network; classifying at least one topic of the malicious information; determining a potential sub-network for future spread of the malicious information based on the at least one topic classified; and attenuating a potential future spread of the malicious information via at least one of: automatically propagating a countervailing message to the potential sub-network; and prompting manual intervention for propagating a countervailing message to the potential sub-network. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods and arrangements for controlling a spread of malicious information in a network. A viral spread of information is tracked, in a network comprising interconnected nodes. Malicious information in the viral spread of information is identified. A topic-specific sub-network of nodes prone to be affected by the malicious information is predicted, and the effect of the malicious information at the sub-network of nodes is neutralized, via initiating a spread of neutralizing information to the sub-network of nodes. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods, systems, and computer program products for determining groups of individuals based on multiple items of individual transaction data are provided herein. A method includes initializing a customer segment value for each of multiple purchased items identified in a purchase record based on one or more historical purchasing patterns; updating the customer segment value for each of the multiple purchased items based on the customer segment values for the other purchased items identified in the purchase record; and determining a customer segment composition of a group of individuals associated with the multiple purchased items identified in the purchase record based on the updated customer segment values.

Abstract: Methods and arrangements for controlling a spread of malicious information in a network. A viral spread of information is tracked, in a network comprising interconnected nodes. Malicious information in the viral spread of information is identified. A topic-specific sub-network of nodes prone to be affected by the malicious information is predicted, and the effect of the malicious information at the sub-network of nodes is neutralized, via initiating a spread of neutralizing information to the sub-network of nodes. Other variants and embodiments are broadly contemplated herein.