International Business Machines Corporation

Realnetworks Gmbh

Michael J Bordash

Lisa Seacat DeLuca

Gilbert Barron

Louis F Roehrs

Jasmine S Basrai

Anurag Srivastava

Zachary Paul Slayton

Todd Eric Kaplinger

Gregory Louis Truty

Michael Hudson

Chih-Hong Wong

John E Bloys

Branimir Dropuljic

Systems and methods for processing calls to determine if the call is potentially fraudulent or unwanted. The system extracts a speech signal from an audio signal associated with a call. The system identifies audio characteristics based on analysis of the audio signal. The system generates textual transcript of the audio signal based on automatic speech recognition of the speech signal, which is used to assign text categories for the call based on an automated multi-label textual classification of the textual transcript. The system assigns audio categories for the call based on automated multi-label acoustic classification of the speech signal. The system generates an output label for the call based on a combined analysis of the text categories, the audio categories, and the audio characteristics. The language spoken during the call may be detected and used to generate the textual transcript and to assign the text categories and the audio categories.

Detection of unwanted calls or caller intent based on a fusion of acoustic and textual analysis of calls

A security application may provide a secure digital currency for a blockchain while maintaining anonymity and security from unauthorized third parties. One example may include one of accessing a retailer site from a device, selecting one or more items for purchase, transmitting a payment option to the retailer site for the selected one or more items, receiving a payment request message from the retailer site comprising a unique identifier linked to one or more incentives, creating a payment confirmation message comprising the unique identifier and the one or more incentives, and transmitting the payment confirmation.

Tracking transactions through a blockchain

The present invention provides a method and system for cognitive rewards recognition in a mobile wallet of a user. A cognitive rewards recognition software application installed in the mobile wallet for each purchase opportunity: determines payment options and associated rewards; determines cognitive factors linking and relating the user, the payment options, and the rewards to purchases; and generates a ranked list of the payment options in response to the cognitive factors, wherein the rewards are distributed between purchases to maximize benefits to the user in response to the related cognitive factors. The ranked list is presented for each purchase opportunity to the user on his mobile wallet.

Mobile wallet cognitive rewards recognition system and method

A method and system for improving an Internet based search is provided. The method includes generating an intent domain associated with a subject based intent classification. An unstructured data analysis process is executed with respect to a content corpus being associated with the subject based intent classification and a search phase entered in a search field of a graphical user interface with respect to a domain specific search query for specified subject matter. In response the subject based intent classification is determined to be associated with the search query and the subject based intent classification is compared to search results data. A subset of search results of the search results data correlating to the subject based intent classification is determined and ranked resulting in a ranked list. The subject based intent classification and the ranked list are presented to a user.

Internet search result intention

This invention relates to a method, system and computer program for assessing enhanced dynamic keyword-based advertising campaigns, such that a site-level keyword search request of a web page is tracked, where the site-level keyword search request includes at least one search term. The frequency of usage of the search term of the site-level keyword search request is monitored, and the frequency of usage of the search term is compared with a predetermined value. At least one popular term is identified in response to comparing the frequency of usage of the search term with the predetermined value. The popular term is compared with a plurality of existing keyword-based advertising campaigns. It is determined whether the popular term is to be included in the advertising campaign included in the existing keyword-based advertising campaigns, whereby an effectiveness of the advertising campaign may be evaluated.

Keyword based advertising based on site search data

In embodiments, a ground truth table is used to help determine the relevance of a set of search results from a search query. The ground truth table comprises numerous items, along with a corresponding relevancy ranking for each item. Based on the user interaction with the set of search results, the ground truth table is modified, such that subsequent search queries provide improved results over time. The user interactions can include a click-through action, in which case a user clicked on (or otherwise selected) a search result entry. The user interactions can include a purchase action, wish list addition action, favorite list addition action, and/or a share action, among others. Based on the user interactions, the ranking of an entry in the ground truth table is adjusted. Then, subsequent searches that use the modified ground truth table can provide improved search results.

Modification of ground truth tables based on real-time user interaction

Disclosed aspects include geo-fence management using a cluster analysis technique. A set of dynamic user data is received from a set of users. The cluster analysis technique may be used to process the set of dynamic user data. Accordingly, a geo-fence opportunity event is detected using the cluster analysis technique. Based on a selection criterion with respect to the geo-fence opportunity event, it is determined to provide an opportunity for a subset of the set of users. In response to making the determination, the opportunity can be provided for/to the subset of the set of users.

Geo-fence management using a cluster analysis technique

A computing device may receive a plurality of beacon data from one or more beacons located within a geographic region, generate a plurality of beacon events based at least in part on the plurality of beacon data, accumulate the plurality of beacon events without sending the plurality of beacon events from the computing device to a remote computing device, and, in response to the occurrence of a trigger event, send the plurality of beacon events accumulated by the computing device to the remote computing device.

Reducing client-side chatter for beacon-level events

The present invention provides a method and system for search engine optimization based upon most popular search histories. The method includes a server receiving a search query from a user for a website, and corresponding search result data from the website. A determination is made whether a number of times the search query has been received by the website in a given time period exceeds a given popularity threshold value. The server stores the search query and corresponding search result data to a static html page when the popularity threshold is exceeded, then generates and stores a site map corresponding to the website to include the static html page.

Search engine optimization based upon most popular search history

Disclosed aspects include geo-fence management using a cluster analysis technique. A set of dynamic user data is received from a set of users. The set of dynamic user data may have identification information which identifies one or more users, location information which indicates location for one or more users, and context information which indicates application context for one or more users. The cluster analysis technique may be used to process the set of dynamic user data. Accordingly, a geo-fence opportunity event is detected using the cluster analysis technique. Based on a selection criterion with respect to the geo-fence opportunity event, it is determined to provide an opportunity for a subset of the set of users. In response to making the determination, the opportunity can be provided for/to the subset of the set of users (e.g., sending a notification to the subset of the set of users).

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Newtown, CT, United States of America

Michael J Bordash