International Business Machines Corporation

Amazon Technologies, Inc.

Sap Portals Israel Limited

Intel Corporation

Sap Se

Sap Ag

Sap Portals Isreal Ltd

Roman Talyansky

Eyal Nathan

Oleg Kossoy

Gopi Prashanth Gopal

Paul Aksenti Savastinuk

Yotam Kadishay

Michael Dillon

Eli Osherovich

Aviad Gilady

Tomer Pelleg

Boaz Shmueli

Vitaly Vainer

Ran Bittmann

Benjamin Mandler

Dmitry Khalatov

This disclosure describes systems and techniques for detecting events, determining a result of each respective event using a first hypothesis source, and calculating a likelihood that a second (and/or additional) hypothesis source would determine the same result of the respective event. The calculated likelihood may then be used to be determine whether to request that the second hypothesis source determine the result of the event, determine an amount of resources of the second hypothesis source to use to make this determination, and/or like.

Generating event results using auto-generated sensor data

According to some embodiments, a suggestion platform associated with a content aggregation system may access a plurality of data context trigger criteria associated with potential business information content elements. Each data context trigger criteria may include, for example: (i) a data locator associated with a business information data structure, (ii) an operator, and (iii) a threshold. For each data context trigger criteria, it may be automatically determined if a value in the business information data structure satisfies the data context trigger criteria based on the operator and the threshold. When a data context trigger criteria is satisfied, it may be automatically suggested to a user that the potential business information content element associated with that data context trigger criteria be added to a user display of the content aggregation system.

Systems and methods to automatically suggest elements for a content aggregation system

Methods, systems, and computer-readable storage media for configuring a request-centric system. Implementations include actions of monitoring operation of the request-centric system to determine a workload of the request-centric system, wherein the workload includes a plurality of requests, determining a mapping function based on a utility function, the workload and a configuration, the mapping function mapping the workload and the configuration into the utility function, determining an optimal configuration based on the mapping function, the optimal configuration allocating resources of the request-centric system to achieve one or more predefined goals, and applying the optimal configuration to the request-centric system.

Self-management of request-centric systems

In one embodiment, a method includes: receiving data representing a plurality of corpora, each of the plurality of corpora including a set of documents; receiving data representing terms that appear in the corpora; for each one of the terms, determining a plurality of inverse document frequency values each associated with a respective one of the plurality of corpora; receiving data representing a subset of the terms that also appear in a document; for each term in the subset, determining a term frequency for the term in the document; and for each term in the subset, determining, an augmented term frequency-inverse document frequency value based on: (i) the term frequency, and (ii) the plurality of inverse document frequency values that were determined for the term in the subset.

Methods, apparatus, systems and computer readable media for use in keyword extraction

A hierarchical collection of items including one or more sub collections of items ordered in a hierarchy is received. A statistical measure of frequency of an item in a sub collection of items is determined. Further, statistical measures of weightages of the item are determined defining a number of sub collections in the hierarchical collection of items in which the item appears and a number of sub collections in which the item appears. A statistical measure of variability defining a number of occurrences of the item in the hierarchical collection of items across different sub collections is calculated. Furthermore, a relevance score of the item is determined based on the statistical measure of frequency, the one or more statistical measures of weightages of the item and the statistical measure of variability. Based on the relevance score, the item is presented on a computer generated graphical user interface.

Determining a relevance score of an item in a hierarchy of sub collections of items

A method, device and system for maintaining a pre-defined number of free registers at any location of an instrumented program such that at each point during execution of a segment of the instrumented program, the segment has access to the pre-defined number of free registers.

Device, system and method for maintaining a pre-defined number of free registers within an instrumented program

In an enhanced file system specialized operators are provided, which consolidate contextually sensitive selections of documents from widely scattered

Use of special directories for encoding semantic information in a file system

A technique for asynchronous computer disk cache management reduces the burstiness of disk I/O. It provides a periodic sync process to flush modified buffers, wherein only buffers exceeding a threshold age are selected to be flushed. In one variant the sync process only executes when the number of modified buffers in the cache exceeds a threshold, which can be dynamically adapted to changing patterns of cache usage. The age of the dirty buffers is measured by sync periods to minimize time computation. In some embodiments an additional cleaning process flushes old buffers between sync invocations.

Growing community of inventors

Haifa, Israel

Roman Talyansky