Microsoft Technology Licensing, LLC

Zipstorm, Inc.

Carl Meyer

Microft Corporation

Microsoft Corporation

Aravind Bala

Andrew John McGlinchey

Anoop Gupta

David Neal Weise

Robert L Rounthwaite

David Mowatt

Johnson T Apacible

Peter Bailey

David Ahs

Hung-Chih Yang

Karen E Fries

Sanjay Ranka

Kurt William Berglund

Scott Kirk Imig

James D Jacoby

Brian B Jones

Gayathri Ravichandran Geetha

Richard E Chatwin

Jefferson D Fletcher

Ismail Ahmet Nalcacioglu

The present disclosure provides a method for identifying and representing potential next positions based on current position of user of an opportunity network system, the method including: (a) collecting and pre-analysing a comprehensive database of resumes or profiles of users, (b) extracting normalized entity information from resumes or profiles about backgrounds of users, (c) normalizing of the entity information of the users using at least one of machine learning techniques or statistical techniques to obtain normalized entity information, (d) identifying a comprehensive set of possible subsequent positions for the user based on the current position, (e) generating a position-detail profile for one or more of possible subsequent positions based on the profiles of people who are currently in that position or who may have previously worked at the position, and (f) determining a degree of match between resume or profile information of the user and at least one the position-detail profile of the target position.

Opportunity network system for providing career insights by determining potential next positions and a degree of match to a potential next position

The present disclosure provides a method for identifying, ordering, and contacting candidates for a target position based on a position detail profile for the target position. The method includes determining a position detail profile for the target position based on background details of users currently in a role corresponding to the target position, automatically determining a set of position-detail keywords for a search query to find one or more candidates for the target position, automatically prioritizing the set of position-detail keywords based on at least one of a frequency of occurrence of the keywords in the background details of the users currently to obtain a prioritized set of keywords, executing a search query based on the prioritized set of keywords to obtain a candidate list, determining a compatibility score between candidates in the candidate list, ordering the candidate list based on the compatibility scores of candidates.

System and method for identifying, ordering, and contacting candidates for a target position based on a position detail profile for the target position

An app in an app store may be associated with a statically or dynamically generated list of the app's features, modes, content, and/or target device. Different descriptions, icons, titles, and the like may be shown in the app store for each of those features, modes, and content. Based on the mapping and display of individual options, users may be enabled to purchase just one of those modes, features, and/or content. If a user finds one of the provided options and acts to acquire it, the app may start up in a mode tailored to the options (feature, mode, content) rather than activating in a generic way. App stores may limit a number of options per app that can appear in search results, to prevent result spamming by collapsing displayed results, limiting the actual number of displayed results, or filtering by user.

Item maps for app store apps

A method of communicating messages between a sender and a recipient using a communications protocol over a data network, which includes: (a) receiving communication preferences specified by the recipient that includes constraints required to be met for delivery of a message, (ii) publishing the profile with visible preferences from the communication preferences of the recipient when the sender selects the recipient to send the message, (iii) processing a request received from the sender to send the message to the recipient, (iv) generating a customized message form based on the communication preferences of the recipient to enable the sender to compose the message, (v) providing an indication to the sender if any of the constraints are not met, and (vi) delivering the message to the recipient when the constraints specified by the recipient and any constraints applied by a messaging system are met by the message.

Recipient centric messaging system and protocols to implement it over data networks

A user can access a searching component that allows the user to enter search terms to search for commands associated with a computer program. Some specific embodiments pertain to methods for supporting user access to the searching component, to methods for processing search terms submitted by the user, and to methods for guiding the user in terms of their formulation and selection queries. Methods for generating, organizing and manipulating the search results are also provided.

Command searching enhancements

Architecture that automatically detects historical search contexts as well as behaviors related to a search query. Machine learning and hand-authored rules are employed to automatically identify search contexts. Historical information likely to be useful in the current context is surfaced. When a user enters a search query or executes another search behavior, past behaviors are exposed which are contextually related to the current behavior. The architecture also provides automatic discovery of historical contexts, features related to the contexts, and training or authoring of a system for classifying behavior into contexts, using some combination of the machine learning and/or hand-authored rules. A runtime system classifies the current user behavior into a context and surfaces contextual information to the user.

Auto-detection of historical search context

System, method, computer program and computer program product automate and optimize process of placing advertising campaigns on available inventory. When visitor loads one of publisher's web pages, system will be queried for advertisement that should be shown. System periodically analyzes performance data to determine optimal allocations. When queried, identifies advertiser campaign and advertisement to be shown. Results of that visitor encounter are logged or recorded for future analysis. Determination of campaign placements may advantageously be a two-phase process. First, campaign is efficiently tested on the inventory most likely to produce good results. The testing module dynamically adapts, adjusting the amount of testing on different channels until a sufficient determination of the creative performance on different channels can be made. The second phase is the resource allocation. Campaign performance data and contractual constraints are formulated as a network problem. Efficient methods for solving network problems are well known. These two phases may be further subdivided if necessary.

Yield management system and method for advertising inventory

Searching command enhancements

A user can access a searching component that allows the user to enter search terms to search for commands associated with a computer program. The most likely commands are provided to the user, and a command can be selected for execution.

Searching for commands to execute in applications

A computer implemented method of converting existing content files into an active content wizard executable file is provided, along with systems and tools for doing the same. In the method, an existing content file is converted into a corresponding file in an active content wizard schema. A database of user interface elements corresponding to user interface elements found in one or more windows of an application program to which the existing content file corresponds is accessed in order to retrieve information relating to user interface elements referenced in the corresponding file in the active content wizard schema. Then, an active content wizard file is created from the corresponding file in the active content wizard schema and the retrieved information relating to user interface elements.

Using existing content to generate active content wizard executables for execution of tasks

Automated testing of active content wizards is provided. A test infrastructure (TI) accesses a list of ACW to test and controls an ACW runtime engine to execute the ACWs. During ACW execution, the TI interacts with the ACW runtime engine to inject simulated user information based upon test information stored relative to each ACW. The TI records errors generated by the ACW runtime engine as well as other errors relative to the ACW. The TI also directs cleanup of the operating environment between each ACW test. Reports of ACW failures can be provided to ACW authors and/or other interested entities for improvement.

Active content wizard testing

The present invention is directed to a system for automatically capturing images based on the actions of an author in completing steps in an overall task performed on a user interface. To capture the images the author activates a recording component. The recording component records images corresponding to the author's actions on the user interface. The recording component can pass the recorded images to an editing component where an author can generate text corresponding to the images to describe the actions. The images can also be published embedded in the text, if desired.

Automatic image capture for generating content

A method of calculating trigram path probabilities for an input string of text containing a multi-word-entry (MWE) or a factoid includes tokenizing the input string to create a plurality of parse leaf units (PLUs). A PosColumn is constructed for each word, MWE, factoid and character in the input string of text which has a unique first (Ft) and last (Lt) token pair. TrigramColumns are constructed which define corresponding TrigramNodes each representing a trigram for three PosColumns. Forward and backward trigram path probabilities are calculated for each separate TrigramNode. The sums of all trigram path probabilities through each PLU are then calculated as a function of the forward and backward trigram path probabilities. Systems and computer-readable medium configured to implement the methods are also provided.

Method and apparatus for providing improved HMM POS tagger for multi-word entries and factoids

The present invention is directed to a system for automatically recording information indicative of actions of an author in completing steps in an overall task performed on a user interface. Recording systems are used to record the steps taken to perform the task on different computers having different configurations. The recorded steps are then imported into an authoring component where the recorded steps are arranged into a desired content.

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Redmond, WA, United States of America

Aravind Bala