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公开(公告)号:US20210119956A1
公开(公告)日:2021-04-22
申请号:US17133422
申请日:2020-12-23
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor: Meredith J. Morris , Jaime Teevan , Katrina M. Panovich , Aravind Bala , Jonathan Garcia , Susan T. Dumais , Eric J. Horvitz
Abstract: A system is described for integrating a search engine and one or more social network resources. The system operates by determining whether a search operation being conducted by a user warrants interaction with a social network resource. If so, the system may provide an invitation to the user to forward a query-related message to the social network resource. The system then sends the message to a group of contacts via the social network resource, where the group of contacts can be defined in various ways. The system receives a response from at least one contact in the group of contacts and presents that response to the user using various delivery mechanisms, as governed by various delivery timings.
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公开(公告)号:US10346413B2
公开(公告)日:2019-07-09
申请号:US14990360
申请日:2016-01-07
Applicant: Microsoft Technology Licensing, LLC
Inventor: Kira Radinsky , Susan T. Dumais , Krysta M. Svore , Jaime Brooks Teevan , Eric Joel Horvitz
IPC: G06N5/04 , G06F16/17 , G06N20/00 , G06F16/951 , G06F16/955 , G06F16/2457
Abstract: Techniques provide time-aware ranking, such as ranking of information, files or URL (uniform resource locator) links. For example, time-aware modeling assists in determining user intent of a query to a search engine. In response to the query, results are ranked in a time-aware manner to better match the user intent. The ranking may model query, URL and query-URL pair behavior over time to create time-aware query, URL and query-URL pair models, respectively. Such models may predict behavior of a query-URL pair, such as frequency and timing of clicks to the URL of the pair when the query of the pair is posed to the search engine. Results of a query may be ranked by predicted query-URL behavior. Once ranked, the results may be sent to the user in response to the query.
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公开(公告)号:US20170316065A1
公开(公告)日:2017-11-02
申请号:US15142984
申请日:2016-04-29
Applicant: Microsoft Technology Licensing, LLC
Inventor: Adam Fourney , Susan T. Dumais
IPC: G06F17/30
CPC classification number: G06F16/248 , G06F16/2425 , G06F16/9535
Abstract: System and methods for performing automatic identification and contextual reformulation of implicit device-related queries are described. In some examples, a query server may receive a query from an electronic device, receive data associated with the electronic device, determine that the query is related to the electronic device, generate a new query based at least in part on the query and the data associated with the electronic device, retrieve results related to the new query, and send the results related to the new query to the electronic device. In some examples, determining that the query is related to the electronic device includes determining that the query is a semi-implicit device query or a fully implicit device query. The data associated with the electronic device can include a model name of the electronic device, an operating platform for the electronic device, and/or additional data related to the electronic device.
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公开(公告)号:US20220327118A1
公开(公告)日:2022-10-13
申请号:US17844381
申请日:2022-06-20
Applicant: Microsoft Technology Licensing, LLC
Inventor: Adam Fourney , Susan T. Dumais
IPC: G06F16/248 , G06F16/242 , G06F16/9535
Abstract: System and methods for performing automatic identification and contextual reformulation of implicit device-related queries are described. In some examples, a query server may receive a query from an electronic device, receive data associated with the electronic device, determine that the query is related to the electronic device, generate a new query based at least in part on the query and the data associated with the electronic device, retrieve results related to the new query, and send the results related to the new query to the electronic device. In some examples, determining that the query is related to the electronic device includes determining that the query is a semi-implicit device query or a fully implicit device query. The data associated with the electronic device can include a model name of the electronic device, an operating platform for the electronic device, and/or additional data related to the electronic device.
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公开(公告)号:US20190235721A1
公开(公告)日:2019-08-01
申请号:US16383460
申请日:2019-04-12
Applicant: Microsoft Technology Licensing, LLC
Inventor: Susan T. Dumais , Shane Williams
IPC: G06F3/0486 , G06F3/0483 , G06F16/955
CPC classification number: G06F3/0486 , G06F3/0483 , G06F16/955
Abstract: Among other things, one or more techniques and systems are disclosed for saving and retrieving browser-based content or portions thereof for browser-based interactions. Metadata is generated for a selection of a portion or an entire browser page, when a user selects content for the page. The selected content, comprising at least a portion of the browser page, is stored in a database in a remote data store, where the database is indexed by the associated metadata. The selection is presented in a multi-level representation in a user interface (UI) by using the associated metadata to organize the selection(s) in the UI.
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公开(公告)号:US20160275082A1
公开(公告)日:2016-09-22
申请号:US15048125
申请日:2016-02-19
Applicant: Microsoft Technology Licensing, LLC
Inventor: Ryen W. White , Susan T. Dumais , Jaime Teevan
IPC: G06F17/30
CPC classification number: G06F16/24578 , G06F16/24575 , G06F16/248 , G06F16/9535
Abstract: A user's domain expertise may be estimated through several factors by monitoring different aspects of a user's interaction with a web browser. Based on the user's domain expertise, search results may be presented to the user that is commensurate with their expertise, resulting in a more efficient and productive on line session. A user's expertise in a knowledge domain may be determined from the user's behavior, including analyzing search queries, monitoring how the user navigates between and through websites, and analyzing the specific cites visited. As a user interacts with a browser, the user's estimated domain expertise may be updated and used to provide appropriate and useful search results. In many embodiments, a user may have different expertise levels for different technical domains.
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公开(公告)号:US11386105B2
公开(公告)日:2022-07-12
申请号:US15142984
申请日:2016-04-29
Applicant: Microsoft Technology Licensing, LLC
Inventor: Adam Fourney , Susan T. Dumais
IPC: G06F16/24 , G06F16/248 , G06F16/242 , G06F16/9535
Abstract: System and methods for performing automatic identification and contextual reformulation of implicit device-related queries are described. In some examples, a query server may receive a query from an electronic device, receive data associated with the electronic device, determine that the query is related to the electronic device, generate a new query based at least in part on the query and the data associated with the electronic device, retrieve results related to the new query, and send the results related to the new query to the electronic device. In some examples, determining that the query is related to the electronic device includes determining that the query is a semi-implicit device query or a fully implicit device query. The data associated with the electronic device can include a model name of the electronic device, an operating platform for the electronic device, and/or additional data related to the electronic device.
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公开(公告)号:US20160117333A1
公开(公告)日:2016-04-28
申请号:US14990360
申请日:2016-01-07
Applicant: Microsoft Technology Licensing, LLC
Inventor: Kira Radinsky , Susan T. Dumais , Krysta M. Svore , Jaime Brooks Teevan , Eric Joel Horvitz
CPC classification number: G06F16/24578 , G06F16/17 , G06F16/951 , G06F16/9566 , G06N5/045 , G06N20/00
Abstract: Techniques provide time-aware ranking, such as ranking of information, files or URL (uniform resource locator) links. For example, time-aware modeling assists in determining user intent of a query to a search engine. In response to the query, results are ranked in a time-aware manner to better match the user intent. The ranking may model query, URL and query-URL pair behavior over time to create time-aware query, URL and query-URL pair models, respectively. Such models may predict behavior of a query-URL pair, such as frequency and timing of clicks to the URL of the pair when the query of the pair is posed to the search engine. Results of a query may be ranked by predicted query-URL behavior. Once ranked, the results may be sent to the user in response to the query.
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