International Business Machines Corporation

Bossa Nova Robotics Ip, Inc.

Vivisimo, Inc.

Christopher Palmer

Jerome M Pesenti

Andre Dos Santos Lessa

Raul Valdes-Perez

Yunyao Li

Marios Savvides

Benny Kimelfeld

Kyle Neblett

Karanhaar Singh

Shreyas Venugopalan

An Pang Lin

Ajmal Thanikkal

Gavriel Adler

Stanley M Bielski

Valeria Brusilovsky

Scott A Lindner

Gregory J Seaman

A method for processing arrival or removal of packages within the field of view of a video camera includes providing a database for recording packages placed in the field of view. Based on real-time analysis of successive image frames in the camera, a human person's entry and exit from the field of view of the camera is also detected. Delivery or removal of objects is recorded in the database. In one embodiment, the method also determines whether or not a newly arrived package is placed alongside or on top of an existing package.

Method for new package detection

Embodiments of the present invention disclose a method, computer program product, and system for searching a database using a user entered search query. A search query for a database is received by the computer and the computer applies condition-action rules based on natural language processing rules to identify one or more phrases within the search query that is associated an entity identifier. The computer further identifies any taxonomy variants that have been established for the identified phrases. The computer creates a search string that includes search query and the entity identifiers. The database search is conducted by the computer and the results are displayed for the user.

Domain centric natural language query answering

Techniques are disclosed for generating a unified ranking of search results received from a plurality of distinct search resources. A computing system executing a federated search application receives a set of ranked search results from multiple search resources (e.g., web-based search engines, public databases and catalogs, etc.). Each search result identifies an item and includes metadata characterizing the item. The federated search application determines a unified ranking for the items identified in the search results that preserves a relative ranking of each set of items, such that a result for a given item is ranked above other results for items in the associated set of items is ranked above the other results in the unified ranking.

Holistic federated ranking algorithm

Embodiments presented herein provide a protocol for throttling requests of multiple client applications sending data to a server. When a server receives a request from a client, the server increments a counter. Based on the counter value with respect to a high-water mark value and a low-water mark value, the server may enter a throttling period, upon which the server sends acknowledgments that include a throttle identifier to requesting clients. When a client receives an acknowledgment with a throttle identifier, the client waits for a delay period before sending a subsequent request. The server continues to send acknowledgments with a throttle identifier while in the throttling period. The client increases the delay period each time it receives an acknowledgment with the same throttle identifier as the previous one.

Method for throttling multiple client applications sending data to a server application

An increase in information available to a user of computing technologies has a tendency to increase the number of topics that are similarly related. Given the large amount of information that is now available, it is increasingly likely that a first set of search results generated in response to an initial search query will contain information that is not of interest to the user. What is needed in the art is a technique to enable a search query to be conducted by taking advantage of linguistic feedback. Furthermore, what is needed is a technique to enable the presentation of search results to be refined in a manner based on what is not of interest to a user, either intrinsically or because the user has already seen and evaluated certain information and next wants to see more or different information.

Clustering system and method

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Pittsburgh, PA, United States of America

Christopher Palmer