Abstract: One embodiment of a method for detecting a lost sale due to an out-of-shelf condition in a retail environment includes automatically detecting when a customer fails to purchase an expected product, based at least in part on an observation of a current behavior of the customer in the retail environment and on a purchasing history of the customer, and inferring, based on the automatically detecting, that the expected product is out-of-shelf.

Abstract: A method for indexing a user interface test recording includes capturing, during a session, a recording of a plurality of interactions with the user interface, capturing, during the session, an event stream including a plurality of user interface events, synchronizing, in time, the plurality of interactions and the plurality of user interface events, identifying a point of interest in the event stream, wherein the point of interest is correlated to a time in the recording by the synchronization, and annotating the recording at a time correlated to when the point of interest occurred.

Abstract: A method for determining significant words or phrases within social media data includes receiving a stream of data from at least one social media source. The stream includes one or more words or phrases along with corresponding time stamps indicating when the word/phrase was used. One or more words/phrases to be analyzed is determined from the stream. A time period of interest is identified. The time period is divided into a plurality of non-overlapping time windows. The stream is analyzed within the time period of interest to determine how many instances of each words/phrases have timestamps within each time window. One or more of the words/phrases are identified as significant based on a level of co-occurrence of the words/phrases related to the determination as to how many instances of each words/phrases have timestamps within each window.

Abstract: At least one computer processor obtains access to a relationship network and a network of a different kind than the relationship network. The at least one computer processor also obtains a user query and carries out a multiple heterogeneous networks search on the relationship network and the network of the different kind than the relationship network, by executing on the at least one computer processor a multiple heterogeneous network search module, to obtain a ranked output list responsive to the user query.

Abstract: A method (and structure) for prioritization of incident reports includes receiving an incident report from one of a plurality of clients. For each client incident report, information is retrieved from a database concerning a business relevance of a client relationship with the client at a time period for resolving the received incident report. A prioritization of the received incident report is calculated, as executed by a processor on a computer, the prioritization including a parameter that quantifies a customer state. An incident report ticket is generated that includes aggregated key information of the received incident report and that includes an indication of the calculated prioritization. The incident report ticket is provided as an output intended for a problem resolver to address the received incident report.

Abstract: Techniques, systems, and articles of manufacture for characterizing statistical time-bounded incident management systems. A method includes generating an expected distribution of multiple work requests in an incident management system across multiple characterization classes based on a target service level agreement for each of the multiple work requests and one or more probability distribution values, analyzing the multiple work requests in the incident management system to determine an actual distribution of the multiple work requests across the multiple characterization classes, and comparing the expected distribution of the multiple work requests to the actual distribution of the multiple work requests for each of the multiple characterization classes to characterize performance of the incident management system.

Abstract: Systems and articles of manufacture for characterizing statistical time-bounded incident management systems include generating an expected distribution of multiple work requests in an incident management system across multiple characterization classes based on a target service level agreement for each of the multiple work requests and one or more probability distribution values, analyzing the multiple work requests in the incident management system to determine an actual distribution of the multiple work requests across the multiple characterization classes, and comparing the expected distribution of the multiple work requests to the actual distribution of the multiple work requests for each of the multiple characterization classes to characterize performance of the incident management system.

Abstract: One embodiment of a system for detecting a lost sale due to an out-of-shelf condition in a retail environment includes a plurality of sensors distributed throughout the retail environment for monitoring a current behavior of a customer in the retail environment, a database for storing a purchasing history of the customer, and a matching system for automatically detecting when the customer fails to purchase an expected product, based at least in part on the current behavior and on the purchasing history, and for inferring, based on the automatically detecting, that the expected product is out-of-shelf.

Abstract: One embodiment of a method for detecting a lost sale due to an out-of-shelf condition in a retail environment includes automatically detecting when a customer fails to purchase an expected product, based at least in part on an observation of a current behavior of the customer in the retail environment and on a purchasing history of the customer, and inferring, based on the automatically detecting, that the expected product is out-of-shelf.

Abstract: A system and an article of manufacture for characterizing a time-bounded incident management system, which includes receiving a plurality of work requests into a time-bounded incident management system, each work request having a time-to-service requirement, determining an assignment delay and a resolution delay for each work request, and characterizing the time-bounded incident management system by classifying each work request into one of multiple classes according to assignment delay and resolution delay.

Abstract: Techniques for characterizing a time-bounded incident management system. A method includes receiving a plurality of work requests into a time-bounded incident management system, each work request having a time-to-service requirement, determining an assignment delay and a resolution delay for each work request, and characterizing the time-bounded incident management system by classifying each work request into one of multiple classes according to assignment delay and resolution delay.

Abstract: A method for evaluating a satisfaction of a customer in a retail environment includes identifying an item for which the customer is searching in the retail environment, monitoring an activity of the customer with respect to the item in the retail environment, and automatically evaluating the satisfaction of the customer based on the activity of the customer with respect to the item.

Abstract: A system for evaluating a satisfaction of a customer in a retail environment includes a search system for identifying an item for which the customer is searching in the retail environment, a plurality of sensors for monitoring an activity of the customer with respect to the item in the retail environment, and an evaluation system for automatically evaluating the satisfaction of the customer based on the activity of the customer with respect to the item.