Microsoft Technology Licensing, LLC

Yue Liu

Caglar Gunyakti

Xiaoxi Tan

Min Zeng

Qiang Wu

Ruihua Song

Karan Singh Dhillon

Kristian E Hatlelid

Pingping Lin

Jay Robert Girotto

Dzmitry Suponau

Rohit Wad

Yan Chen

Wei-Ying Ma

Aidan T Hughes

Hua Chen

Di Li

Zaiqing Nie

Ravindra Pandya

Kristjan Eric Hatlelid

Lei Ding

Xiang Xu

Ying Zou

Sa Kang

Feng Zhou

Methods and apparatuses for performing context completion to messages in a session are provided in the present disclosure. A message may be obtained. It may be detected that there exists context ellipsis in the message. It may be determined whether the message is retained in the current domain of the session. In response to determining that the message is retained in the current domain, a complementary text for recovering the context ellipsis may be selected in the current domain. A completed message may be generated based on the message and the complementary text.

Domain context ellipsis recovery for chatbot

The present disclosure provides method and apparatus for guiding topic in a conversation between a user and a chat engine. At least one first topic is determined. A first message is provided to the user based on the at least one first topic, to guide the conversation to the at least one first topic. A first response to the first message is received from the user. It is determined whether the first response is associated with the at least one first topic. In the case of determining that the first response is associated with the at least one first topic, at least one second topic is determined based on the at least one first topic. At least one second message is provided based at least on the at least one second topic, wherein if the at least one second topic is associated with resource or service, the at least one second message includes at least the resource or service.

Topic guiding in a conversation

The present disclosure provides a technical solution related to establishing a characterized chatbot with personality. On one hand, a corpus database matched with a specific character may be established, and a generated regular/conventional response messages may be converted into a characterized response messages with character's features during conversation, so that the conversation style of a chatbot may be characterized with a certain character's features. On the other hand, a chatbot may select a response message with a specific emotion by using an emotion conversation table corresponding to a personality when generating the response message against a content of a conversation input by a user, so that a chatbot may be characterized and have certain personality.

Characterized chatbot with personality

A state store having state information therein is stored on a computing device. Information at least nearly unique to the computing device is obtained, and a number of locations at which at least a portion of the state store is to be stored at is determined. Pseudo-random file names and corresponding paths are generated based at least in part on the obtained information, whereby the generated file names and corresponding paths are likewise at least nearly unique to the computing device, and the generated file names and path are paired to form the locations. Thereafter, the state store is stored according to the generated locations.

Obfuscated state store for rights management system and the like

Search results are ranked by applying sub-relevancies within a search result list. This permits search result lists to be further refined into more manageable relevant groupings from a user's perspective. The sub-relevancies or 'group-by' parameters are derived from search result attributes. Attribute values from the attributes are employed in a ranking scheme to group the search results based on attribute value relevancy. The grouped search results can then be displayed to users via a search result page. In one instance users can select which attribute value is used to group the search result list. Ranking processes are based on object ranking algorithms that consider each attribute value as an object type. Some instances provide for search result list group condensing based on relevancy of the attribute values as well. A top-k instance can be employed to limit the search results to control the amount of time required for processing groupings.

Group-by attribute value in search results

A method and system that aggregates data associated with one or more entities from different data sources are provided. The data sources include documents, web pages, or images that have information about one or more entities. The information is extracted from the data sources based on criteria that define the entities. The extracted information is utilized to generate a hash identifier that corresponds to each entity and one or more storage locations. The one or more storage locations and associated hash identifiers are utilized to store the extracted information corresponding to the entities, and the extracted information for each entity is structured as a virtual page that is stored in an index having references to the data sources. The index storing the virtual pages is notified or updated when the associated data sources are modified.

Aggregating data from different sources

A method and system that aggregates data associated with one or more entities from different data sources are provided. The data sources include documents, web pages, or images that have information about one or more entities. The information is extracted from the data sources based on criteria that define the entities. The extracted information is utilized to generate a hash identifier that corresponds to each entity and one or more storage locations. The one or more storage locations and associated hash identifiers are utilized to store the extracted information corresponding to the entities, and the extracted information for each entity is structured as a virtual page that is stored in an index having references to the data sources.

Aggregating data from difference sources

A method for reactivation of software products includes activating a first software product associated with a reactivation policy group. A hardware identifier derived from the computer hardware configuration is bound with the first software product activation. A second software product is activated having an associated reactivation binding list. Reactivation is requested for the first software product and an updated hardware identifier is associated with a reactivation policy group of the first software product. The second software product may be spared the request for reactivation if the second product can be associated with the reactivation of the first software product given the binding list is compatible with the reactivation policy group.

Method and system for single reactivation of software product licenses

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Issaquah, WA, United States of America

Yue Liu