Microsoft Technology Licensing, LLC

Other

Peter Richard Bailey

David Anthony Hawking

Nicholas Eric Craswell

Ryen William White

Mark Blelock Atherton

Paul Baecke

David John Maxwell

Bodo Von Billerbeck

Michele Banko

Mathieu Etienne Jacques Audouin

Representative embodiments disclose mechanisms to complete partial queries entered by a user. Users enter a partial query. The partial query is used to search a short text index comprising the titles of documents. The search yields a list results. The top k entries of the list are selected and a language model is created from the top k entries. The language model comprises n-grams from the top k entries and an associated probability for each n-gram. A query completion generator creates query completion suggestions by matching n-grams with the partial query, removing candidate suggestions that to not comply with suggestion rules, and filtering the remaining suggestions according to a filtering criteria. The top N results are returned as suggestions to complete the query.

Corpus specific generative query completion assistant

Examples are disclosed that relate to deferring a message based upon a target situation for message presentation. One example provides a computing device including an output subsystem including one or more output devices, an input subsystem including one or more user input devices, and a logic device. The computing device further includes memory storing instructions executable by the logic device to receive a message from a remote computing system, output a notification of the message via the output subsystem, and receive via the input subsystem a request for a deferral of the message, the request for the deferral including an annotation to be stored for a later presentation with the message.

Situational message deferral

Non-limiting examples of the present disclosure describe low latency pre-web classification of query data. In examples, processing is performed where query data may be analyzed in a low latency manner that includes providing a vertical intent classification and entity identification for query data before a web ranking service processes the query data. Query data may be received. A vertical intent classification index may be searched using the query data. In examples, the vertical intent classification index may comprise a set of files that can be used to determine one or more candidate entity identifiers for the query data. The one or more entity identifiers may be ranked. The query data, a vertical intent classification for the vertical intent classification index and the one or more ranked candidate entity identifiers may be transmitted for processing associated with a web ranking service. Other examples are also described.

Low latency pre-web classification

Representative embodiments disclose mechanisms to complete partial natural language questions. Users enter a partial question. The system comprises a plurality of indexes, one index comprising common phrases associated with natural language questions and other indexes comprising short text entries associated with documents, such as document titles. The partial question is used to search one or more of the indexes. The search yields a ranked list of results. The top k entries of the list are selected and one or more language models are created from the top k entries. Each language model comprises n-grams from the top k entries from an index and an associated probability for each n-gram. A question completion generator creates question completion suggestions by matching n-grams with the partial question, removing ungrammatical candidate suggestions, and filtering the remaining suggestions per a filtering criteria. The top N results are returned as suggestions to complete the question.

Corpus specific natural language query completion assistant

Systems, methods, and computer-readable storage media for providing query-completion suggestions that include answers to the complete queries suggested while the user is formulating a search query. At least a portion of a search query is received by the search engine. As the portion of the search query is received, query-completion suggestions are identified and answers to the plausible search query completions are identified for inclusion in the search input area. Upon selection of a query-completion suggestion, the search engine results page is presented, wherein the search engine results page includes the answers in the snippets generated for the results that contain the answers to the completed queries suggested to the user.

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Canberra, Australia

Peter Richard Bailey