Multilingual grouping of content items based on semantically equivalent topics

Abstract

In some implementations, a computing device can present a multilingual grouping of topics. For example, a computing device can determine a primary language and a secondary language for a user of the computing device. The computing device can request a configuration that includes a tag language mapping that can be used to translate topic tags corresponding to the secondary language to topic tags corresponding to the primary language. When the computing device receives a tagged content item associated with the secondary language, the computing device can translate the secondary language tag corresponding to the tagged content item to a semantically equivalent topic tag in the primary language. The computing device can then group the primary language content item and the secondary language content item into a multilingual grouping based on the topic corresponding to the translated content item tag. The computing device can then present the multilingual topic grouping of content items.

Description

Technical Field

[0001] This disclosure relates in general to multilingual support for graphical user interfaces. Background Technology

[0002] Content delivery systems typically generate topic tags for content items that identify the subject matter (e.g., topic) and store them in metadata. Topic tags are usually words that are the same as the language of the content item (e.g., sports, politics, entertainment, etc.). Therefore, politically relevant content items in French can be tagged with the topic tag "politique," while politically relevant content items in English can be tagged with the topic tag "politics." Because "politique" and "politics" are different tags, client devices (e.g., user devices) that group content items by topic tags for presentation can group content items tagged with "politique" separately from those tagged with "politics," even though "politique" and "politics" are semantically equivalent. Summary of the Invention

[0003] In some implementations, the computing device may present multilingual groupings of topics. For example, the computing device may determine a primary and secondary language for its users. The computing device may request a configuration including a tag language mapping, which can be used to translate topic tags corresponding to the secondary language into topic tags corresponding to the primary language. When the computing device receives a tagged content item associated with the secondary language, it can translate the secondary language tag corresponding to the tagged content item into a semantically equivalent topic tag in the primary language. The computing device can then group the primary and secondary language content items into multilingual groups based on the topics corresponding to the translated content item tags. The computing device can then present the multilingual topic groups of the content items.

[0004] Specific implementations offer at least the following advantages. By grouping content items associated with semantically equivalent topics into single topic groups, the user experience for users consuming content in multiple languages ​​can be improved. Users can more effectively locate and consume all content items associated with a single topic in a single location, despite being in different languages.

[0005] Details of one or more specific embodiments are set forth in the following figures and detailed descriptions. Other features, aspects, and potential advantages will become apparent from the detailed descriptions, the figures, and the claims. Attached Figure Description

[0006] Figure 1This is a block diagram of an exemplary system for multilingual grouping of content items based on semantically equivalent topic tags.

[0007] Figure 2 An exemplary graphical user interface for presenting content items grouped by topic tags is shown.

[0008] Figure 3 An exemplary graphical user interface is shown for presenting multilingual groupings of content items based on semantically equivalent topic tags.

[0009] Figure 4 This is a flowchart of an exemplary process for multilingual grouping of content items based on semantically equivalent topic tags.

[0010] Figure 5 It is achievable. Figures 1 to 4 A block diagram of an exemplary computing device illustrating its features and processes.

[0011] Similar reference symbols in the various figures indicate similar elements. Detailed Implementation

[0012] Figure 1 This is a block diagram of an exemplary system 100 for multilingual grouping of content items based on semantically equivalent topic tags. For example, system 100 may be configured to translate topic tags associated with a secondary language into semantically equivalent topic tags associated with a primary language, such that content items associated with two or more different languages ​​can be grouped based on semantic similarity.

[0013] In some implementations, system 100 may include user equipment 110. For example, user equipment 110 may be a computing device, such as a smartphone, tablet, smartwatch, laptop, desktop computer, in-vehicle infotainment system, or any other computing device.

[0014] In some implementations, user device 110 may include news application 112. For example, news application 112 may be a software application installed and / or running on user device 110 that can request and receive various content items (e.g., news articles, videos, commentary articles, blogs, etc.) from a content server (e.g., content server 132 on server device 130).

[0015] In some implementations, user device 110 may include whitelisted topic tags 114. For example, whitelisted tags 114 may include topic tags that user device 110 can automatically subscribe to for its users. For example, user device 110 may automatically subscribe to topics (e.g., tags) identified in whitelisted tags 114 based on the user's content consumption behavior. For example, if a user regularly consumes sports-related content but has not yet provided explicit input to subscribe to sports topics, user device 110 may automatically subscribe to sports topic tags for the user. User device 110 cannot subscribe to topics corresponding to topic tags not included in whitelisted tags 114. User device 110 may obtain whitelisted tags 114 from content server 132 on server device 130 in response to a configuration request, as further described below.

[0016] In some implementations, user equipment 110 may include tag language mapping 116. For example, tag language mapping may be a data object or file that defines how tags corresponding to a minor language are translated into semantically equivalent tags corresponding to the primary language. If a user of user equipment 110 has multiple minor languages, user equipment 110 may store multiple tag language mapping files (e.g., one tag language mapping file per minor language). User equipment 110 may obtain tag language mapping 116 from content server 132 on server equipment 130 in response to a configuration request, as further described below.

[0017] To configure news application 112 to handle content items from a content server, news application 112 may send a configuration request 118 to content server 132 on server device 130 via network 120. For example, configuration request 118 may include language preferences (e.g., primary language, secondary language) associated with user device 110. For example, configuration request 118 may include information identifying the primary language of the user of user device 110. The primary language (e.g., French, English, Chinese, etc.) may, for example, correspond to the language settings of user device 110, which specify which language should be used to present information on various graphical user interfaces of user device 110.

[0018] Secondary languages ​​(e.g., French, English, Chinese, etc.) can be implied by user device 110 based on the user's historical content consumption behavior. For example, if the user's primary language is French, but the user also consumes English content, then user device 110 can determine that the user's secondary language is English. In some implementations, user device 110 can determine multiple secondary languages ​​for the user. For example, if the user's primary language is French, but the user also consumes English and German content, then user device 110 can determine that the user's secondary languages ​​are English and German. News application 112 can include the user's primary language and all secondary languages ​​in configuration request 118.

[0019] In some implementations, system 100 may include server device 130. For example, server device 130 may be a networked computing device. Server device 130 may include content server 132. For example, content server 132 may be a software server that provides configuration and / or content to a news application (e.g., news application 112) on client devices (e.g., user device 110). For example, in response to receiving configuration request 118 from user device 110 via network 120, content server 130 may select a tag language mapping 136 (e.g., similar to tag language mapping 116) for each minor language identified in configuration request 118. For example, each selected tag language mapping 136 will define how tags corresponding to the minor language are translated into tags corresponding to the primary language. Thus, if configuration request 110 identifies French as the primary language and English and German as minor languages, content server 132 may select a first tag language mapping 136 that maps English tags to semantically equivalent French tags and a second tag language mapping 136 that maps German tags to semantically equivalent French tags. For simplicity, the following description will use French as the primary language and a single secondary language (English). Therefore, in response to receiving a configuration request 118 that identifies French as the primary language and English as the secondary language, content server 132 may choose a tag language mapping 136 to map English topic tags to semantically equivalent French topic tags.

[0020] In some implementations, in response to configuration request 118, content server 132 may send configuration 138 to news application 112 on user device 110. For example, configuration 138 may include selected tag language mapping 136 and whitelisted tags 134, etc. Upon receiving configuration 138, user device may store selected tag language mapping 136 and whitelisted tags 134 as tag language mapping 116 and whitelisted tags 114, respectively.

[0021] In some implementations, user device 110 may include tag subscription 114. Tag subscription 114 may include topic tags that the user has explicitly subscribed to. For example, the user of user device 110 may provide user input that explicitly indicates the user wishes to subscribe to one or more specific topics. In response to this explicit subscription input, news application 112 may store topic tags corresponding to the user-identified topics in tag subscription 114. Tag subscription 114 may include topic tags that have been automatically subscribed to by the user by user device 110 and / or news application 112 for the user. For example, the user of user device 110 may provide user input that user device 110 and / or news application 112 may use to indicate interest in one or more specific topics. For example, a user's historical content consumption behavior may include patterns indicating that the user likes to consume sports-related content or, more specifically, basketball-related content. When news application 112 and / or user device 110 detects this pattern, if these topics are included in the whitelisted tags 114, news application 112 may automatically subscribe to sports and / or basketball topics for the user and store the topic tags corresponding to these topics in tag subscription 114.

[0022] In some implementations, news application 112 may send content request 140 to content server 132. For example, content request 140 may be a request for content items associated with tag subscription 114. Therefore, when sending content request 140 to content server 132, news application 112 may include one or more topic tags identified in tag subscription 114 in content request 140.

[0023] In some implementations, server device 130 may include tagged content items 132. For example, tagged content items 132 may include content items that have been tagged with topic tags indicating the subject of each content item. Topic tags may, for example, be stored in the metadata of the corresponding content item.

[0024] In some implementations, content server 132 may send tagged content 142 to news application 112. For example, in response to receiving content request 140 identifying topic tags that a user on user device 110 has subscribed to, content server 132 may select content items from tagged content items 132 that include one or more topic tags from those included in content request 140. For example, since the user consumes content associated with two different languages ​​(e.g., French and English), the topic tags included in content request 140 may include French and English topic tags. Furthermore, content request 140 may include semantically equivalent French and English topic tags (e.g., the French word "politique" is semantically equivalent to the English word "politics"). Therefore, content server 132 may select politically relevant French and English content items. After selecting content items based on the topic tags included in content request 140, content server 132 may send the selected tagged content items from tagged content 142 to news application 112.

[0025] In response to receiving tagged content 142, news application 112 can group the content items in tagged content 142 by topic tags and display the content item groups on the display of user device 110, as described below.

[0026] Figure 2 An exemplary graphical user interface 200 for presenting content items grouped by topic tags is shown. For example, GUI 200 may be generated by a news application 112 on a user device 110. GUI 200 illustrates how content items associated with different languages ​​(e.g., news articles, commentary articles, etc.) can be presented when the news application 112 does not group content items based on semantic equivalence. For example, the news application 112 may generate GUI 200 without translating secondary language topic tags into corresponding primary language topic tags.

[0027] As shown in GUI 200, the user of user device 200 has subscribed to the French topic "politique" and the English topic "politics". Since in this implementation, the news application 112 does not group based on semantic similarity, it strictly groups content items associated with each topic based on topic tags. Because the French topic tag "politique" is different from the English topic tag "politics", even if the topics are semantically similar, the news application 112 will generate two different topic groups 210 ("politique") and 220 ("politics") for these topic tags. Therefore, even though French items 212, 214, and 216 and English content items 222 and 224 are all related by content and / or topic, the French content items 212, 214, and 216 related to politics (e.g., "politique") will be presented separately from the English content items 222 and 224 related to politics (e.g., "politics").

[0028] Unfortunately, the layout and presentation of content shown in GUI 200 may confuse users who might expect all politically related content items to be grouped and presented together, especially if the "politics" content group is separated from the "politique" content group by other content / topic groups. To prevent this confusion and make it easier for users to find content of interest, news application 112 can group content items based on semantically equivalent topic tags, rather than strictly grouping them by topic tags.

[0029] Figure 3 An exemplary graphical user interface 300 for presenting multilingual grouping of content items based on semantically equivalent topic tags is shown. For example, GUI 300 may be generated by a news application 112 on user device 110. GUI 300 illustrates how content items associated with different languages ​​(e.g., news articles, commentary articles, etc.) can be presented in the same topic group when the news application 112 is configured to group content items based on semantically equivalent topic tags. For example, the news application 112 may generate GUI 300 by translating secondary language topic tags to corresponding primary language topic tags using a tag language mapping 116 that maps English topic tags to semantically equivalent French topic tags, as described above.

[0030] As described above, news application 112 can receive French language content items tagged with a French language topic tag (e.g., “politique”) and English language content items tagged with an English language topic tag (e.g., “politics”). Since news application 112 is configured to group content items by topic tags, it can be configured to translate secondary language tags into corresponding primary language tags using a secondary language tag-to-primary language tag mapping stored in tag language mapping 116 on user device 110 before grouping the content items. For example, before grouping content items for presentation on GUI 300, news application 112 can determine that content items 222 and 224 are associated with the secondary language English and translate the English language “politics” tag associated with content items 222 and 224 into the corresponding (e.g., semantically equivalent) primary language (e.g., French) topic tag “politique” based on the mapping between “politics” and “politique” found in tag language mapping 116. After translating the English word "politics" into the French word "politique," the news application 112 can group the English and French content items 212, 214, 216, 222, and 224 into the same content group 302 based on the French "politique" hashtag now associated with each of the content items 212, 214, 216, 222, and 224, as follows: Figure 3 As shown.

[0031] Exemplary process

[0032] To enable readers to clearly understand the technical concepts described herein, the following process describes specific steps performed in a particular order. However, one or more steps of a particular process may be rearranged and / or omitted while remaining within the intended scope of the technology disclosed herein. Furthermore, different processes and / or their steps may be combined, recombined, rearranged, omitted, and / or performed in parallel to create different processing flows also within the intended scope of the technology disclosed herein. Moreover, although some details of the technology disclosed herein may be omitted or briefly summarized in the following process for clarity, the details described in the preceding paragraphs can be combined with the process steps described below to obtain a more complete and comprehensive understanding of these processes and the technology disclosed herein.

[0033] Figure 4 This is a flowchart of an exemplary process 400 for multilingual grouping of content items based on semantically equivalent topic tags. For example, process 400 may be performed by user device 110 to present content items associated with different topic tags in different languages ​​within a single semantically equivalent topic group.

[0034] At step 402, user equipment 110 may determine a primary user language and a secondary user language. For example, user equipment 110 may determine the primary user language based on its language settings. User equipment 110 may infer the secondary language based on user behavior patterns. Specifically, user equipment 110 may infer one or more secondary languages ​​based on the language of content consumed by the user over a period of time.

[0035] At step 404, user equipment 110 may store tag language mappings for translating secondary language tags to primary language tags. For example, user equipment 110 may send a configuration data request to server equipment 130. The configuration data request may identify the user's primary language and one or more secondary languages. Server equipment 130 may select a tag language mapping object or file (which includes a mapping of topic tags from the user's secondary languages ​​to topic tags in the user's primary language) and send the selected tag language mapping to user equipment 110. User equipment 110 may store the tag language mappings on user equipment 110 for later use in translating secondary language tags to primary language tags.

[0036] At step 406, user equipment 110 may receive tagged content. For example, user equipment 110 may request content associated with topic tags that the user has already subscribed to (e.g., automatically or explicitly). Server equipment 130 may select content items associated with the requested topic tags and send the tagged content items to user equipment 110. For example, each tagged content item may be tagged with a topic tag describing the content of the corresponding tagged content item.

[0037] At step 408, user equipment 110 may translate the secondary language tag associated with the received content item into a primary language tag. For example, when a tagged content item is associated with a user's secondary language, the tagged content item will be marked with a topic tag in the user's secondary language. User equipment 110 may compare the secondary language tag with a tag language mapping to determine a primary language tag corresponding to (e.g., mapped to) the secondary language tag associated with the content item. User equipment 110 may then associate the determined primary language tag with the content item.

[0038] At step 410, user equipment 110 may group tagged content based on translated language tags. For example, user equipment 110 may group tagged content items based on the primary language tag associated with the content item (including the translated primary language tag). For example, all content items associated with the same primary language topic tag may be grouped together.

[0039] At step 412, user equipment 110 may display the grouped content items on its display. For example, user equipment 110 may display the grouped content items on GUI 300, as described above.

[0040] Graphical User Interface

[0041] This disclosure describes above various graphical user interfaces (GUIs) for implementing various features, processes, or workflows. These GUIs can be presented on a variety of electronic devices, including, but not limited to, laptop computers, desktop computers, computer terminals, television systems, tablet computers, e-book readers, and smartphones. One or more of these electronic devices may include a touch-sensitive surface. The touch-sensitive surface can process multiple simultaneous input points, including processing data related to the pressure, degree, or position of each input point. Such processing can facilitate gestures using multiple fingers, including pinching and swiping.

[0042] When this disclosure refers to “selecting” a user interface element in a GUI, these terms are understood to include clicking or “hovering” over a user interface element using a mouse or other input device, or touching, tapping, or gesturing over a user interface element using one or more fingers or a stylus. User interface elements can be virtual buttons, menus, selectors, switches, sliders, brushes, knobs, thumbnails, links, icons, radio buttons, checkboxes, and any other mechanism used to receive input from or provide feedback to the user.

[0043] privacy

[0044] As described above, one aspect of the present invention involves collecting and using data available from various sources to automatically subscribe to topics of interest to a user and request content items associated with those topics. This disclosure contemplates that, in some instances, the collected data may include personal information that uniquely identifies or can be used to contact or locate specific individuals. Such personal information may include demographic data, location-based data, telephone numbers, email addresses, social media IDs, home addresses, data or records related to a user's health or fitness level (e.g., vital sign measurements, medication information, exercise information), date of birth, or any other identifying information or personal information.

[0045] This disclosure recognizes that the use of such personal information data in the techniques of this invention can benefit users. For example, the personal information data can be used to deliver targeted content that is of interest to the user. Furthermore, this disclosure also anticipates other uses of the personal information data that are beneficial to the user. For example, health and fitness data can be used to provide insights into a user's overall health status or as positive feedback for individuals using the technology to pursue health goals.

[0046] This disclosure assumes that entities responsible for collecting, analyzing, disclosing, transmitting, storing, or otherwise using such personal information data will comply with established privacy policies and / or privacy practices. Specifically, such entities should implement and adhere to privacy policies and practices that are generally recognized as meeting or exceeding industry or governmental requirements for maintaining the privacy and security of personal information data. Such policies should be easily accessible to users and should be updated as data collection and / or use change. Personal information from users should be collected for the entity's lawful and reasonable purposes and not shared or sold outside of these lawful uses. Furthermore, such collection / sharing should be conducted only after obtaining informed consent from users. In addition, such entities should consider taking any necessary steps to protect and safeguard access to such personal information data and ensure that others with access to such personal information data comply with their privacy policies and processes. Additionally, such entities may be subject to third-party evaluations to demonstrate their compliance with widely accepted privacy policies and practices. Furthermore, policies and practices should be adapted to the specific types of personal information data collected and / or accessed, and to applicable laws and standards, including specific considerations regarding jurisdiction. For example, in the United States, the collection or acquisition of certain health data may be governed by federal and / or state laws, such as the Health Insurance Portability and Accountability Act (HIPAA); while in other countries, health data may be subject to other regulations and policies and should be handled accordingly. Therefore, different privacy practices should be maintained for different types of personal data in each country.

[0047] Regardless of the foregoing, this disclosure also contemplates implementation schemes for users to selectively block the use or access to personal information data. That is, this disclosure contemplates providing hardware and / or software components to prevent or block access to such personal information data. For example, with respect to content delivery services, the inventive technology can be configured to allow users to opt-in or opt-out at any time during or after registration for the service to participate in the collection of personal information data. In addition to providing opt-in and opt-out options, this disclosure envisions providing notifications related to access to or use of personal information. For example, users may be notified when downloading an application that their personal information data will be accessed, and then reminded again just before the application accesses the personal information data.

[0048] Furthermore, the purpose of this disclosure is to manage and process personal information data to minimize the risk of unintentional or unauthorized access or use. Once data is no longer needed, this risk can be minimized by limiting data collection and deleting data. Additionally, and where applicable, including in certain health-related applications, data deidentification can be used to protect user privacy. Deidentification can be facilitated, where appropriate, by removing specific identifiers (e.g., date of birth, etc.), controlling the amount or specificity of stored data (e.g., collecting location data at the city level rather than the address level), controlling how data is stored (e.g., aggregating data among users), and / or other methods.

[0049] Therefore, while this disclosure broadly covers the use of personal information data to implement one or more of the various disclosed embodiments, it is also contemplated that various embodiments can be implemented without access to such personal information data. That is, various embodiments of the present invention will not be rendered inoperable due to the absence of all or part of such personal information data. For example, preferences can be inferred based on non-personal information data or a minimal amount of personal information, such as content requested by a device associated with a user, other non-personal information available to the content delivery service, or publicly available information, thereby selecting content and delivering it to the user.

[0050] Exemplary System Architecture

[0051] Figure 5 It is achievable. Figures 1 to 4 A block diagram of an exemplary computing device 500 illustrating its features and processes. The computing device 500 may include a memory interface 502, one or more data processors, a graphics processor and / or a central processing unit 504, and a peripheral interface 506. The memory interface 502, the one or more processors 504, and / or the peripheral interface 506 may be separate components or integrated into one or more integrated circuits. The various components in the computing device 500 may be coupled by one or more communication buses or signal lines.

[0052] Sensors, devices, and subsystems can be coupled to peripheral interface 506 to facilitate multiple functions. For example, motion sensor 510, light sensor 512, and proximity sensor 514 can be coupled to peripheral interface 506 to facilitate orientation, illumination, and proximity functions. Other sensors 516 can also be connected to peripheral interface 506, such as Global Navigation Satellite System (GNSS) (e.g., GPS receiver), temperature sensors, biometric sensors, magnetometers, or other sensing devices to facilitate related functions.

[0053] The camera subsystem 520 and optical sensor 522 (such as a charge-coupled device (CCD) or complementary metal-oxide-semiconductor (CMOS) optical sensor) can be used to facilitate camera functions such as taking photos and video clips. The camera subsystem 520 and optical sensor 522 can be used (e.g., by performing facial recognition analysis) to collect user images to be used during user authentication.

[0054] Communication functionality can be facilitated by one or more wireless communication subsystems 524, which may include radio frequency receivers and transmitters and / or optical (e.g., infrared) receivers and transmitters. The specific design and implementation of the communication subsystems 524 may depend on one or more communication networks that the computing device 500 is intended to operate through. For example, the computing device 500 may include subsystems designed for communication via GSM networks, GPRS networks, EDGE networks, Wi-Fi or WiMax networks, and Bluetooth. TM A network-operated communication subsystem 524. Specifically, the wireless communication subsystem 524 may include a managed protocol that allows device 100 to be configured as a base station for other wireless devices.

[0055] The audio subsystem 526 can be coupled to the speaker 528 and the microphone 530 to facilitate voice-enabled functions such as speaker recognition, voice copying, digital recording, and telephone functions. The audio subsystem 526 can be configured to facilitate, for example, processing of voice commands, voiceprint identification, and voice authentication.

[0056] I / O subsystem 540 may include touch surface controller 542 and / or (one or more) other input controllers 544. Touch surface controller 542 may be coupled to touch surface 546. Touch surface 546 and touch surface controller 542 may, for example, use any of a variety of touch-sensitive technologies (including, but not limited to, capacitive, resistive, infrared, and surface acoustic wave technologies) and other proximity sensor arrays or other elements for determining one or more points of contact with touch surface 546 to detect contact and movement or their interruption.

[0057] One or more other input controllers 544 may be coupled to other input / control devices 548, such as one or more buttons, rocker switches, thumbwheels, infrared ports, USB ports, and / or pointing devices (such as styluses). One or more buttons (not shown) may include volume up / down buttons for speaker 528 and / or microphone 530.

[0058] In one implementation, pressing the button for a first duration unlocks the touch surface 546; and pressing the button for a second duration longer than the first duration turns the computing device 500 on or off. Pressing the button for a third duration activates a voice control or voice command module that allows the user to speak commands into the microphone 530 to have the device execute those commands. The user can customize the function of one or more buttons. For example, the touch surface 546 can also be used to implement virtual or soft buttons and / or a keyboard.

[0059] In some embodiments, computing device 500 may display recorded audio and / or video files, such as MP3, AAC, and MPEG files. In some embodiments, computing device 500 may include the functionality of an MP3 player, such as an iPod. TM .

[0060] Memory interface 502 may be coupled to memory 550. Memory 550 may include high-speed random access memory and / or non-volatile memory, such as one or more disk storage devices, one or more optical storage devices, and / or flash memory (e.g., NAND, NOR). Memory 550 may store operating system 552, such as Darwin, RTXC, LINUX, UNIX, OS X, WINDOWS, or embedded operating system (such as VxWorks).

[0061] Operating system 552 may include instructions for handling basic system services and for performing hardware-related tasks. In some implementations, operating system 552 may be a kernel (e.g., a UNIX kernel). In some implementations, operating system 552 may include instructions for performing voice authentication. For example, operating system 552 may implement multilingual content grouping features, as referenced... Figures 1-4 As stated above.

[0062] The memory 550 may also store communication instructions 554 to facilitate communication with one or more additional devices, one or more computers, and / or one or more servers. The memory 550 may include graphical user interface instructions 556 that facilitate graphical user interface processing; sensor processing instructions 558 that facilitate sensor-related processing and functions; telephone instructions 560 that facilitate telephone-related processes and functions; electronic message processing instructions 562 that facilitate electronic message processing and functions; web browsing instructions 564 that facilitate web browsing-related processes and functions; media processing instructions 566 that facilitate media processing-related processes and functions; GNSS / navigation instructions 568 that facilitate GNSS and navigation-related processes and instructions; and / or camera instructions 570 that facilitate camera-related processes and functions.

[0063] Memory 550 may store software instructions 572 to facilitate other processes and functions, such as references Figures 1 to 4 The process and function of grouping multilingual content.

[0064] The memory 550 may also store other software instructions 574, such as network video instructions that facilitate methods and functions related to network video; and / or network shopping instructions that facilitate processes and functions related to online shopping. In some embodiments, the media processing instructions 566 are divided into audio processing instructions and video processing instructions, to facilitate processes and functions related to audio processing and processes and functions related to video processing, respectively.

[0065] Each of the instructions and applications identified above may correspond to a set of instructions for performing one or more of the functions described above. These instructions do not need to be implemented as a separate software program, process, or module. Memory 550 may include additional instructions or fewer instructions. Furthermore, various functions of computing device 500 may be implemented in hardware and / or software, including in one or more signal processing and / or application-specific integrated circuits.

[0066] In order to assist the Patent Office and any reader of any patent published in this application in interpreting the appended claims, the applicant wishes to note that they do not intend any of the appended claims or claim elements to invoke 35U.SC112(f) unless the words “means for…” or “steps for…” are expressly used in a particular claim.

Claims

1. A method comprising: determining, by a user device, a primary language associated with the user device; determining, by the user device, a secondary language associated with the user device; storing, by the user device, a label language mapping for translating a first plurality of topic labels associated with the secondary language to a second plurality of topic labels associated with the primary language; receiving, by the user device, labeled content items from a server device, wherein a second labeled content item of the labeled content items is associated with a second label of the second plurality of topic labels associated with the primary language, wherein a first labeled content item of the labeled content items is associated with a first label of the first plurality of topic labels associated with the secondary language; determining, by the user device, that the second label of the second plurality of topic labels associated with the primary language and the first label of the first plurality of topic labels associated with the secondary language are semantically equivalent; based on determining that the first label and the second label are semantically equivalent, grouping, by the user device, at least the first labeled content item and the second labeled content item into a group of content items; and presenting, by the user device, the group of content items on a display of the user device, wherein the group of content items includes the first labeled content item labeled with the first label associated with the secondary language and the second labeled content item labeled with the second label associated with the primary language.

2. The method of claim 1, further comprising: translating, by the user device, the at least one topic label of the secondary language associated with the at least one labeled content item to a corresponding topic label of the primary language based on the label language mapping; and grouping, by the user device, the at least one labeled content item of the secondary language with other content items of the primary language based on the corresponding topic label of the primary language.

3. The method of claim 1, further comprising: sending, by the user device, a request to the server device for the label language mapping, the request identifying the primary language and the secondary language; and receiving, by the user device, the label language mapping.

4. The method of claim 1, further comprising: inferring, by the user device, the secondary language based on historical content consumption behavior of a user of the user device.

5. The method of any one of claims 1-4, further comprising: receiving, by the user device, whitelisted labels from the server device, wherein the whitelisted labels are an exclusive set of topic labels that the user device can automatically subscribe the user to.

6. The method of claim 5, further comprising: determining, by the user device, that the user of the user device has consumed content associated with a particular topic label; ​ ​ determining, by the user device, that the user is not currently subscribed to receive content associated with the particular topic tag; determining, by the user device, that the particular topic tag is included in the whitelisted tags; and in response to determining that the particular topic tag is included in the whitelisted tags, automatically subscribing, by the user device, the user to receive content associated with the particular topic tag.

7. The method of claim 5, further comprising: determining, by the user device, that the user of the user device has consumed content associated with a particular topic tag; determining, by the user device, that the user is not currently subscribed to receive content associated with the particular topic tag; determining, by the user device, that the particular topic tag is not included in the whitelisted tags; and in response to determining that the particular topic tag is not included in the whitelisted tags, preventing the user device from automatically subscribing the user to receive content associated with the particular topic tag.

8. A non-transitory computer-readable medium comprising one or more sequences of instructions which, when executed by one or more processors, cause the processors to perform operations comprising: determining, by a user device, a primary language associated with the user device; determining, by the user device, a secondary language associated with the user device; storing, by the user device, a language-to-tag mapping for translating a first plurality of topic tags associated with the secondary language to a second plurality of topic tags associated with the primary language; receiving, by the user device, tagged content items from a server device, wherein a second tagged content item of the tagged content items is associated with a second tag of the second plurality of topic tags associated with the primary language, wherein a first tagged content item of the tagged content items is associated with a first tag of the first plurality of topic tags associated with the secondary language; determining, by the user device, that the second tag of the second plurality of topic tags associated with the primary language and the first tag of the first plurality of topic tags associated with the secondary language are semantically equivalent; based on determining that the first tag and the second tag are semantically equivalent, grouping, by the user device, at least the first tagged content item and the second tagged content item into a group of content items; and presenting, by the user device, the group of content items on a display of the user device, wherein the group of content items includes the first tagged content item labeled with the first tag associated with the secondary language and the second tagged content item labeled with the second tag associated with the primary language.

9. The non-transitory computer-readable medium of claim 8, wherein the instructions cause the processors to perform operations comprising: translating, by the user device, the at least one topic tag of the secondary language associated with the at least one tagged content item to a corresponding topic tag of the primary language based on the tag language mapping; and grouping, by the user device, the at least one tagged content item of the secondary language together with other content items of the primary language based on the corresponding topic tag of the primary language.

10. The non-transitory computer-readable medium of claim 8, wherein the instructions cause the processor to perform operations comprising: sending, by the user device to the server device, a request for the tag language mapping, the request identifying the primary language and the secondary language; and receiving, by the user device, the tag language mapping.

11. The non-transitory computer-readable medium of claim 8, wherein the instructions cause the processor to perform operations comprising: inferring, by the user device, the secondary language based on historical content consumption behavior of a user of the user device.

12. The non-transitory computer-readable medium of any of claims 8-11, wherein the instructions cause the processor to perform operations comprising: receiving, by the user device from the server device, a whitelisted tag, wherein the whitelisted tag is an exclusive set of topic tags that the user device can automatically subscribe for a user.

13. The non-transitory computer-readable medium of claim 12, wherein the instructions cause the processor to perform operations comprising: determining, by the user device, that the user of the user device has consumed content associated with a particular topic tag; determining, by the user device, that the user is not currently subscribed to receive content associated with the particular topic tag; determining, by the user device, that the particular topic tag is included in the whitelisted tag; and in response to determining that the particular topic tag is included in the whitelisted tag, automatically subscribing, by the user device, the user to receive content associated with the particular topic tag.

14. The non-transitory computer-readable medium of claim 12, wherein the instructions cause the processor to perform operations comprising: determining, by the user device, that the user of the user device has consumed content associated with a particular topic tag; determining, by the user device, that the user is not currently subscribed to receive content associated with the particular topic tag; determining, by the user device, that the particular topic tag is not included in the whitelisted tag; and in response to determining that the particular topic tag is not included in the whitelisted tag, preventing the user device from automatically subscribing the user to receive content associated with the particular topic tag.

15. A system, the system comprising: one or more processors; and a memory coupled to the one or more processors, the memory storing instructions that, as a result of execution of the instructions by the one or more processors, cause the system to perform operations comprising: receiving, by the system from a user device, a request for a tag language mapping, the request identifying a primary language and a secondary language; and transmitting, by the system to the user device, the tag language mapping. A non-transitory computer-readable medium comprising one or more sequences of instructions which, when executed by the one or more processors, cause the processors to perform operations comprising: determining, by a user device, a primary language associated with the user device; determining, by the user device, a secondary language associated with the user device; storing, by the user device, a label language mapping for translating a first plurality of topic labels associated with the secondary language to a second plurality of topic labels associated with the primary language; receiving, by the user device from a server device, labeled content items, wherein a second labeled content item of the labeled content items is associated with a second label of the second plurality of topic labels associated with the primary language, wherein a first labeled content item of the labeled content items is associated with a first label of the first plurality of topic labels associated with the secondary language; determining, by the user device, that the second label of the second plurality of topic labels associated with the primary language and the first label of the first plurality of topic labels associated with the secondary language are semantically equivalent; based on determining that the first label and the second label are semantically equivalent, grouping, by the user device, at least the first labeled content item and the second labeled content item into a group of content items; and presenting, by the user device, the group of content items on a display of the user device, wherein the group of content items includes the first labeled content item labeled with the first label associated with the secondary language and the second labeled content item labeled with the second label associated with the primary language.

16. The system of claim 15, wherein the instructions cause the processors to perform operations comprising: translating, by the user device based on the label language mapping, the at least one topic label of the secondary language associated with the at least one labeled content item to a corresponding topic label of the primary language; and grouping, by the user device, the at least one labeled content item of the secondary language with other content items of the primary language based on the corresponding topic label of the primary language.

17. The system of claim 15, wherein the instructions cause the processors to perform operations comprising: sending, by the user device to the server device, a request for the label language mapping, the request identifying the primary language and the secondary language; and receiving, by the user device, the label language mapping.

18. The system of claim 15, wherein the instructions cause the processors to perform operations comprising: inferring, by the user device, the secondary language based on historical content consumption behavior of a user of the user device.

19. The system of claim 15, wherein the instructions cause the processors to perform operations comprising: receiving, by the user device from the server device, whitelisted tags, wherein the whitelisted tags are an exclusive set of topic tags that the user device can automatically subscribe for a user.

20. The system of claim 19, wherein the instructions cause the processor to perform operations comprising: determining, by the user device, that the user of the user device has consumed content associated with a first particular topic tag and a second particular topic tag; determining, by the user device, that the user is not currently subscribed to receive content associated with the first particular topic tag or the second particular topic tag; determining, by the user device, that the first particular topic tag is included in the whitelisted tags; in response to determining that the first particular topic tag is included in the whitelisted tags, automatically subscribing, by the user device, the user to receive content associated with the first particular topic tag; determining, by the user device, that the second particular topic tag is not included in the whitelisted tags; and in response to determining that the second particular topic tag is not included in the whitelisted tags, preventing the user device from automatically subscribing the user to receive content associated with the second particular topic tag.

21. A computer program product comprising a computer program which, when executed by a processor, causes the processor to perform the method of any one of claims 1-7. ​

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