International Business Machines Corporation

Leho Nigul

Joanna W Ng

Marco A Deluca

Rohit Kapoor

Jialin Li

Pradeep K Nanjundaswamy

Eugene Amigud

Bhuvan Ananthanarayanan

Adam Elliott

Sanjeev Siotia

Timothy Marc Francis

Brian Ward Thomson

Diana H Lau

King Shing K Lui

Dana Lea Price

Zhen Liu

Qi Cheng Li

Yan Zhao

John Kurian

Hariharan N Venkitachalam

Rodney Alan Little

Helena Litani

Scott M Guminy

Hong Bo Peng

Ernest Wing Mah

B G Prashanth Bhat

Trent Hoeppner

Kevin Yu

Chun Yang Gao

Krishnamurthy Muralidhar

Ninad R Manelkar

Paul R Bastide

James Irwin Knutson

Marlin R Deckert

Jason J Illg

Li Ding

Dana M Duffield

Wu Ning

Ivy Ho

Peter R Manahan

Basalingayya G Salimath

King Shing Kelvin Lui

Patrick S C Tiu

Elena H Litani

Simon Wai

The present disclosure provides a system and method for analyzing customer communications to provide better customer service including generating customer related data from communications of a customer by at least one sensing device located in a venue, transmitting the generated customer related data to an analysis engine, determining based on an analysis of the customer related data a customer experience, identifying at least one suggestion to provide better customer service including the identification of a representative of the venue that the analysis engine has determined can assist the customer, and receiving the at least one suggestion including an indication that the representative should assist the customer from the analysis engine by a computing device associated with the representative of the venue.

Method, system, and manufacture for providing better customer service by analyzing customer communications

A first indication from a user is received. The indication includes a task to be performed using at least one application programming interface. A machine learning model is determine. At least one application programming interface is determined using the machine learning model and the request. The at least one application programming interface is provided to the user.

Predicting API storytelling mapping

For a portal server system for managing a collection of associated portlets responsive to user requests to access a application, the invention provides apparatus and methodology including: a portlet application session object for saving parameters from user requests of associated portlets; and, a portlet application communication client linked to said portlet application session means for communicating between said associated portlets and said web application to convey user requests received from said associated portlets to said web application.

Method and apparatus for relaying session information from a portal server

A method and system for improving an automated mobile device detection system is provided. The method includes automatically detecting Web pages being accessed by a user via a mobile hardware device. Movement based attributes, biological parameters, and a geographical location of the user are detected via hardware sensors of the mobile device. The Webpages are modified such that a modified plurality of Webpages is generated based on the analysis. The modified plurality of Webpages is presented to the user.

Automated mobile device detection

A method for implementing a graphical modeling tool in a web-based environment is disclosed herein. In one embodiment, such a method may include enabling a user to import, into a web-based environment, a domain meta model comprising a number of meta model elements. The method may further enable the user to associate the meta model elements with graphical representations in the web-based environment, thereby allowing the user to create palette elements. The user may then assemble the palette elements on a canvas to create a diagram. This diagram may be converted into an instance of the domain meta model. This instance may be validated for conformance with the rules and constraints associated with the domain meta model. A corresponding apparatus and computer program product are also disclosed and claimed herein.

Graphical modeling tool

In an approach to automated merchandising, one or more computer processors detect access to an electronic store by a user. The one or more computer processors determine a location of the user. The one or more computer processors retrieve a plurality of social media communications associated with the location of the user, where social media communications include one or more publically available entries made by one or more users of one or more social media applications. The one or more computer processors determine whether the retrieved social media communications are associated with one or more merchandise associated with the electronic store. In response to determining the retrieved social media communications are associated with the one or more merchandise associated with the electronic store, the one or more computer processors determine a position of the one or more merchandise in one or more communication channels.

Automated merchandising based on social media chatter

Managing product acquisition based on product characteristics is provided. Characteristics of a product in an electronic shopping cart are determined based on product provider data and product data corresponding to the product. A number of product characteristic points for the product in the electronic shopping cart is calculated based on mapping the determined characteristics of the product to user-defined product points. It is determined whether the calculated number of product characteristic points for the product in the shopping cart is less than or equal to a user-defined product characteristic point budget. In response to determining that the calculated number of product characteristic points for the product in the shopping cart is greater than the user-defined product characteristic point budget, a warning is displayed on a user client device that the user-defined product characteristic point budget is exceeded.

Managing product acquisition based on product characteristics

An illustrative embodiment of a computer-implemented process for dynamic management of integration protocols connects a set of applications to a communication fabric to form a set of connections, which are monitored to collect a set of performance metrics. In response to a determination the predetermined performance metric is not within the predetermined tolerance associated with the particular application in the set of applications an integration path in the set of connections for the particular application in the set of applications is adjusted by programmatically using a set of rules wherein each rule in the set of rules is a performance driven rule.

Dynamic management of integration protocols

A computer program product for determining buying online and picking up in store. A computer receives from a shopper a request for buying online and picking up in store. The computer parses stores carrying an item purchased online and connections of the shopper in a social network. The computer provides the shopper with a list of one or more connections for picking up the item for the shopper. The computer sends to one of the one or more connections a token for picking up the item and information of a store where the item is picked up, after the shopper chooses the one of the one or more connections for picking up the item. The computer sends to the shopper a notification, after the item is picked up by the one of the one or more connections for picking up the item.

Intelligently determining buying online and picking up in store based on commute patterns of connections in a social network and store parameters

A computer system for determining buying online and picking up in store. A computer receives from a shopper a request for buying online and picking up in store. The computer parses stores carrying an item purchased online and connections of the shopper in a social network. The computer provides the shopper with a list of one or more connections for picking up the item for the shopper. The computer sends to one of the one or more connections a token for picking up the item and information of a store where the item is picked up, after the shopper chooses the one of the one or more connections for picking up the item. The computer sends to the shopper a notification, after the item is picked up by the one of the one or more connections for picking up the item.

A method, a computer program product, and a computer system for determining buying online and picking up in store. A computer receives from a shopper a request for buying online and picking up in store. The computer parses stores carrying an item purchased online and connections of the shopper in a social network. The computer provides the shopper with a list of one or more connections for picking up the item for the shopper. The computer sends to one of the one or more connections a token for picking up the item and information of a store where the item is picked up, after the shopper chooses the one of the one or more connections for picking up the item. The computer sends to the shopper a notification, after the item is picked up by the one of the one or more connections for picking up the item.

As disclosed herein a method, executed by a computer, includes receiving, from a monitoring agent, a notification that an artifact corresponding to a deployed software image has been modified or the artifact has been referenced by a support application, and determining if the artifact is a relevant artifact and should be preserved. The method further includes determining an action corresponding to the relevant artifact to provide an identified action, and performing, prior to deploying a new software image, the identified action. A computer system, and a computer program product corresponding to the above method are also disclosed herein.

Deployed image monitoring and relevant change detection

Software configuration information and topological information associated with a group of software program instances installed on at least one computing device are tracked. An available software update is identified for at least one of the group of software program instances. At least one software update suggestion rule that specifies a target software configuration and a target topological dependency to which the available software update applies is evaluated against the tracked software configuration information and topological information. A determination is made as to whether the available software update is targeted to the tracked software configuration information and topological information based upon the evaluation of the at least one software update suggestion rule. A notification of the available software update is provided in response to determining that the available software update is targeted to the tracked software configuration information and topological information.

Software service notifications based upon software usage, configuration, and deployment topology

Member profiles, for the participants of a social networking service and their relationship information with other participants and activity history data, are received. A plurality of groups is generated that include one or more participants. A set of parameters for a collaborative shopping event is received. At least one group is adjusted based upon the set of parameters. The participants of the at least one group are sent an invitation to join the collaborative shopping event. The collaborated shopping event is linked to a cyber shopping service. The at least one group is scored based upon participation of participants in the collaborative shopping event. The participants in the collaborative shopping event are modified based upon the score.

Dynamic group formation for electronically collaborative group events

Growing community of inventors

Richmond Hill, Canada

Leho Nigul