Telenav Gmbh

Facebook, Inc.

Televav, Inc.

Meta Platforms, Inc.

Aliasgar Mumtaz Husain

Gregory Stewart Aist

Casey Thomas Carter

Sung-eok Jeon

Shalu Grover

Naveen Kumar Vandanapu

Jose Sebastian

Pramod Lakshmi Narasimha

Weiying Li

Rajeev Agarwal

Liviu Teodor Popescu

Jaffe Wong

Sunny Dinmohamed Panjwani

Liang Wang

Hongwei Feng

Zehua Zhou

Ankur Gupta

Hanhong Li

Rakesh Ravuru

Aman Preet Singh

Arjun Shrinath

Weili Shao

Kevin Russell Wheeler

Thu-Phuong Tuong Do

Conghui Yang

Yali Xu

Qi Dai

Clayton Allen Andrews

Shubham Bansal

Peng Yan

Gengyan Bei

Pravin Paratey

Britt Fitch

Jonathan Nguyen

Matthew James Hanselman

Michael Banos

Anna Maria Ayuso Holschuh

Systems, methods, and non-transitory computer-readable media can determine a set of candidate values for a field in a page. The set of candidate values can be evaluated for accuracy based at least in part on a machine learning model, wherein the machine learning model outputs a respective score for each candidate value that measures an accuracy of the candidate value for the field in the page. A best scoring candidate value can be determined from the set of candidate values. The field in the page can be associated with the best scoring candidate value.

Systems and methods for evaluating page content

Techniques to convert multi-party conversations to an editable document are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging conversation between two or more messaging participants; and analyze the messaging conversation based on a plurality of domain-specific extractors; a domain selector component operative to determine that a domain detection level for a selected extractor exceeds a threshold; and a document component operative to generate an editable document based on the messaging conversation using the selected extractor and assign access permissions to the editable document automatically to the two or more messaging participants. Other embodiments are described and claimed.

Techniques to convert multi-party conversations to an editable document

A method of operating a communication system includes: receiving a conditional communication for communicating the conditional communication from a sender to a receiver; determining with a control circuit a delivery condition for communicating the conditional communication to the receiver based on the sender; and communicating the conditional communication based on the delivery condition.

Communication system for conditional communication mechanism and method of operation thereof

Information for an advertising campaign is received that includes one or more advertisements for presentation to one or more users of an online system. A strong interest feature domain is generated for each user of the online system. A set of related items is obtained, wherein each item in the set is associated with an action conducted by the one or more users. It can be determined that a viewing user of the online system has interacted with at least one item in the set of related items, and the generated interest feature domain for the viewing user includes an interest feature domain specified in the advertising campaign. Responsive to the determination, an advertisement is selected for presentation to the viewing user.

Informative advertisements on hobby and strong interests feature space

An online system monitors actions performed by users of the online system in association with being presented with content items that are associated with various categories. A histogram may be generated to describe a pattern of an action previously performed by a user in response to being presented with content items associated with a category. The online system trains a model to predict a likelihood that the user will perform the action in response to being presented with a content item associated with the category based on the pattern of the action previously performed by the user and information describing one or more recent performances of the action by the user with a content item associated with the category. The predicted likelihood may be included in a content selection process that selects one or more content items for presentation to the user.

Selecting content for presentation to an online system user based on categories associated with content items

An online system customizes content items to be displayed on electronic displays. The electronic displays may be located at a venue with a large amount of foot traffic from users such as a park, airport, restaurant, shopping center, or airport. The system receives information from an electronic display describing users in vicinity of, or interacting with, the electronic display. For instance, the electronic display receives information from client devices of the users or by using sensors such as a camera that captures images of the users. Additionally, the system may receive interaction data generated by a touchscreen device of the electronic display. Based on the received information, the online system can select content items that are customized based on the interests of the users. The online system can also provide customized content items for display on a user's client device based on the user's interaction with an electronic display.

Electronic displays with customized content

A method of operation of a navigation system includes: determining a travel context with a control unit based on a context factor; generating a content metadata based on extracting a corresponding instance of the context factor from a media content; generating a delivery content based on the travel context, the content metadata, or a combination thereof for selecting the media content relevant to the travel context; and generating multiple instances of a delivery sequence wherein each of the delivery sequence different from one another by including a different instance of the delivery content for tailoring the delivery sequence for each of a user profile traveling together within the travel context for presenting on each of a device of the user profile.

Navigation system with content delivery mechanism and method of operation thereof

A social networking system maintains content items associated with various topics. Each topic may be associated with a start time and/or an end time defining a time range during which content items associated with the topic are most likely to be relevant to social networking system users. The start time and/or end time associated with a topic may be based on information received from a user of the social networking system or on the occurrence of an event. The social networking system computes a score indicating a predicted affinity of a viewing user of the social networking system for each content item eligible for presentation to the viewing user and adjusts the affinity score based on a start time and/or an end time of an associated topic. One or more content items are selected for presentation to the viewing user based on the affinity score associated with each content item.

Selecting time-specific content for presentation to a user of a social networking system

In one embodiment, a method includes receiving from a first user a text query inputted by the first user using an I/O device associated with the client system, the I/O device including a first keyboard layout. The method also includes identifying one or more physical-proximity phrases corresponding to the text query based at least in part on the first keyboard layout and calculating a confidence score for each of the identified physical-proximity phrases based at least in part on a search history of the first user. The method also includes identifying one or more objects, where each identified object matches at least one of the identified physical-proximity phrases having a confidence score greater than a threshold confidence score and sending to the first user one or more search results corresponding to one or more of the identified objects, respectively.

Keyboard-based corrections for search queries on online social networks

An online system identifies a group of users of the online system based on connections between the users of the group maintained by the online system and distances between the users during a particular time interval. The online system predicts a purpose of the group and one or more common interests shared by users of the group. The predicted purpose and common interest(s) are mapped to content items eligible to be presented to one or more users of the group. A confidence score and/or bid price is computed for each content item to which the purpose and common interest(s) of the group are mapped. The online system selects one or more content items for presentation to one or more users of the group based on the confidence scores/bid prices.

Selecting content for presentation to a group of online system users based on temporal, spatial, interest, and purpose information of the group

An online system receives content items including targeting criteria and associated with objects presented via video content. When the online system presents video content to a user, the online system detects objects included in the video content. If the online system detects an object in the video content matching an object associated with a content item, the online system determines whether characteristics of the user satisfy at least a threshold amount of targeting criteria included in the content item. In response to characteristics of the user satisfying the threshold amount of targeting criteria included in the content item, the online system includes the content item in one or more selection processes. If the selection processes select the content item, the online system presents the content item in conjunction with the video content.

Selecting content items for presentation in conjunction with video content presented to a user based on objects identified in the video content

A method of operation of a navigation system includes: detecting a trigger event based on a context information being free of an operation input satisfying a cue condition; selecting an operation mode representing a listen mode based on detecting the trigger event; identifying a message template linked to the cue condition; and generating a system initiated inquiry with a control unit based on the message template and the selection of the listen mode for presenting on a device.

Navigation system with a system initiated inquiry and method of operation thereof

Systems, methods, and non-transitory computer readable media are configured to receive emoji query text. The emoji query text can be in a first language. One or more emojis that satisfy the query text can be returned. The one or more emojis can include at least one emoji which corresponds to a second language different than the first language. Factor values of one or more factors can be calculated. The calculation can be for each of the one or more emojis. Some or all of the one or more emojis can be provided for presentation. The presentation can be based on a ranking of the one or more emojis.

Systems and methods for multilingual emoji search

A method trains a model for providing content items to users of a social networking system. The system generates profile vectors based on user profile information such as demographic data and personal data. The system logs actions performed by users on the social networking system and generates behavior vectors based on the logged actions. The profile vectors and behavior vectors are each associated with a user attribute, e.g., the age or gender of a user. The system generates a difference vector based on a profile vector and a behavior vector. The difference vector is then used as a feature to train the model using machine learning techniques. The trained model may select content items that a target user is most likely to be interested in and interact with.

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Milpitas, CA, United States of America

Aliasgar Mumtaz Husain