Abstract: A text from a predetermined domain is taken and converted to canonical named entities based on an established taxonomy. Using a shared machine learning encoder model, contextual embeddings for these named entities are produced. These embeddings are then fed into a domain-specific scoring model related to the text's domain. This model ranks the embeddings based on relevance. The derived relevance scores, along with the entities, are sent to another system for further tasks. For instance, a recommendation system might use these scores to suggest relevant named entities.

Abstract: Embodiments of the disclosed technologies are capable of a training pipeline to fine-tune a machine learning model given a limited set of domain-specific data. The embodiments describe using a first machine learning model to generate a pseudo label associated with a domain-specific training document. The pseudo label comprises a machine-generated text of a content type extracted from the domain-specific training document. The embodiments further describe fine-tuning a second machine learning model using the pseudo label, the domain-specific training document, a first low-rank weight matrix, and a second low-rank weight matrix. The fine-tuned second machine learning model generates text of the content type from a domain-specific document.

Abstract: Described herein is a technique for mapping the raw text of a job title of an online job posting to an entity embedding, associated with an entity or entry of a title taxonomy. The raw text of the job title is first encoded to generate a multilingual word embedding in a multilingual word embedding space. Then, the vector representation of the job title, as represented in the multilingual word embedding space is translated, using a neural network, to a vector representation of the job title in the entity embedding space. Finally, a nearest neighbor search is performed to identify an entity embedding associated with an entity or entry in the title taxonomy that has a vector representation that is closest in distance to the vector output by the neural network.

Abstract: Described herein is a technique for mapping the raw text of a job title of an online job posting to an entity embedding, associated with an entity or entry of a title taxonomy. The raw text of the job title is first encoded to generate a multilingual word embedding in a multilingual word embedding space. Then, the vector representation of the job title, as represented in the multilingual word embedding space is translated, using a neural network, to a vector representation of the job title in the entity embedding space. Finally, a nearest neighbor search is performed to identify an entity embedding associated with an entity or entry in the title taxonomy that has a vector representation that is closest in distance to the vector output by the neural network.

Abstract: A communications device is provided, including a metal carrier having a mounting plane with at least one mounting area, and further includes an antenna element disposed in each mounting area. The mounting area is where the mounting plane intersects a circle centered at a feedpoint of the antenna element in the area and whose radius does not exceed a specified radius. When a boundary line of the mounting area includes a boundary line, a distance from the feedpoint to the boundary line is less than or equal to a specified distance; and/or when a boundary line of the mounting area includes a vertex of the mounting plane, a distance from the feedpoint to the vertex is less than or equal to a specified distance. A feed position on the antenna element is designed to obtain relatively good antenna roundness performance and enhance an antenna signal coverage effect.

Abstract: A communications device is provided, including a metal carrier having a mounting plane with at least one mounting area, and further includes an antenna element disposed in each mounting area. The mounting area is where the mounting plane intersects a circle centered at a feedpoint of the antenna element in the area and whose radius does not exceed a specified radius. When a boundary line of the mounting area includes a boundary line, a distance from the feedpoint to the boundary line is less than or equal to a specified distance; and/or when a boundary line of the mounting area includes a vertex of the mounting plane, a distance from the feedpoint to the vertex is less than or equal to a specified distance. A feed position on the antenna element is designed to obtain relatively good antenna roundness performance and enhance an antenna signal coverage effect.

Abstract: A communications device is provided, including a metal carrier having a mounting plane with at least one mounting area, and further includes an antenna element disposed in each mounting area. The mounting area is where the mounting plane intersects a circle centered at a feedpoint of the antenna element in the area and whose radius does not exceed a specified radius. When a boundary line of the mounting area includes a boundary line, a distance from the feedpoint to the boundary line is less than or equal to a specified distance; and/or when a boundary line of the mounting area includes a vertex of the mounting plane, a distance from the feedpoint to the vertex is less than or equal to a specified distance. A feed position on the antenna element is designed to obtain relatively good antenna roundness performance and enhance an antenna signal coverage effect.

Abstract: A communications device is provided, including a metal carrier having a mounting plane with at least one mounting area, and further includes an antenna element disposed in each mounting area. The mounting area is where the mounting plane intersects a circle centered at a feedpoint of the antenna element in the area and whose radius does not exceed a specified radius. When a boundary line of the mounting area includes a boundary line, a distance from the feedpoint to the boundary line is less than or equal to a specified distance; and/or when a boundary line of the mounting area includes a vertex of the mounting plane, a distance from the feedpoint to the vertex is less than or equal to a specified distance. A feed position on the antenna element is designed to obtain relatively good antenna roundness performance and enhance an antenna signal coverage effect.

Abstract: Techniques for optimizing a delivery time for the delivery of messages are described. According to various embodiments, a system determines, for each of a plurality of time intervals, a likelihood of a particular member of an online social network service performing a particular member user action on a particular message content item during the corresponding time interval. The plurality of time intervals are then ranked, based on the determined likelihoods corresponding to the plurality of time intervals. Thereafter, a particular time interval is identified from among the plurality of time intervals that is associated with a highest ranking. The particular time interval is then classified as an optimum personalized message delivery time for the particular member.

Abstract: Embodiments relate to moving an object between pages of an editable document. An aspect includes determining that the object in an edit page of the editable document has been dragged to a target page thumbnail of the editable document. Another aspect include zooming in the target page thumbnail. Yet another aspect includes moving the object in the zoomed-in target page thumbnail.

Abstract: Techniques for optimizing a delivery time for the delivery of messages are described. According to various embodiments, a system determines, for each of a plurality of time intervals, a likelihood of a particular member of an online social network service performing a particular member user action on a particular message content item during the corresponding time interval. The plurality of time intervals are then ranked, based on the determined likelihoods corresponding to the plurality of time intervals. Thereafter, a particular time interval is identified from among the plurality of time intervals that is associated with a highest ranking. The particular time interval is then classified as an optimum personalized message delivery time for the particular member.

Abstract: Techniques for inferring a time zone of a user (e.g., a member of an online social network service) are described. According to various embodiments, it is determined that a particular member of an online social networks service is currently located in a particular country. Responsive to determining that a single time zone is associated with the particular country, it is determined that the particular member is currently located in the single time zone. Responsive to determining that multiple time zones are associated with the particular country, an IP address associated with a user login request is accessed, a geographic location associated with the IP address is identified, and a specific one of the multiple time zones that corresponds to the geographic location is identified. It is determined that the particular member is currently located in the specific time zone.

Abstract: Techniques for optimizing a delivery time for the delivery of messages are described. According to various embodiments, a system determines, for each of a plurality of time intervals, a likelihood of a particular member of an online social network service performing a particular member user action on a particular message content item during the corresponding time interval. The plurality of time intervals are then ranked, based on the determined likelihoods corresponding to the plurality of time intervals. Thereafter, a particular time interval is identified from among the plurality of time intervals that is associated with a highest ranking. The particular time interval is then classified as an optimum personalized message delivery time for the particular member.

Abstract: Techniques for inferring a time zone of a user (e.g., a member of an online social network service) are described. According to various embodiments, it is determined that a particular member of an online social networks service is currently located in a particular country. Responsive to determining that a single time zone is associated with the particular country, it is determined that the particular member is currently located in the single time zone. Responsive to determining that multiple time zones are associated with the particular country, an IP address associated with a user login request is accessed, a geographic location associated with the IP address is identified, and a specific one of the multiple time zones that corresponds to the geographic location is identified. It is determined that the particular member is currently located in the specific time zone.

Abstract: Techniques for optimizing a delivery time for the delivery of messages are described. According to various embodiments, members of an online social network service that are currently located in a particular geographic location (e.g., a particular time zone) are identified. Thereafter, messages (e.g., e-mails) are transmitted to the members at multiple local times (e.g., multiple times of the day). It is then determined that one or more of the messages that were transmitted at a particular local time have received a highest value for a response metric among the messages, the response metric indicating responses by the members to the messages. The particular local time is then classified as an optimum local message delivery time for the particular geographic location.

Abstract: Embodiments relate to moving an object between pages of an editable document. An aspect includes determining that the object in an edit page of the editable document has been dragged to a target page thumbnail of the editable document. Another aspect include zooming in the target page thumbnail. Yet another aspect includes moving the object in the zoomed-in target page thumbnail.

Abstract: Techniques for optimizing a delivery time for the delivery of messages are described. According to various embodiments, a system determines, for each of a plurality of time intervals, a likelihood of a particular member of an online social network service performing a particular member user action on a particular message content item during the corresponding time interval. The plurality of time intervals are then ranked, based on the determined likelihoods corresponding to the plurality of time intervals. Thereafter, a particular time interval is identified from among the plurality of time intervals that is associated with a highest ranking. The particular time interval is then classified as an optimum personalized message delivery time for the particular member.

Abstract: Techniques for optimizing a delivery time for the delivery of messages are described. According to various embodiments, members of an online social network service that are currently located in a particular geographic location (e.g., a particular time zone) are identified. Thereafter, messages (e.g., e-mails) are transmitted to the members at multiple local times (e.g., multiple times of the day). It is then determined that one or more of the messages that were transmitted at a particular local time have received a highest value for a response metric among the messages, the response metric indicating responses by the members to the messages. The particular local time is then classified as an optimum local message delivery time for the particular geographic location.

Abstract: Techniques for inferring a time zone of a user (e.g., a member of an online social network service) are described. According to various embodiments, it is determined that a particular member of an online social networks service is currently located in a particular country. Responsive to determining that a single time zone is associated with the particular country, it is determined that the particular member is currently located in the single time zone. Responsive to determining that multiple time zones are associated with the particular country, an IP address associated with a user login request is accessed, a geographic location associated with the IP address is identified, and a specific one of the multiple time zones that corresponds to the geographic location is identified. It is determined that the particular member is currently located in the specific time zone.