Abstract: Techniques for manipulating video livestream background images are disclosed. A short-form video, such as a livestream video or livestream replay video, can be analyzed for context. Computer-implemented techniques may be used for performing entity detection, and can also detect a change in subject based on speech and/or actions of a host individual. The subject can include a particular product. The detecting a change in subject can include detecting a foreground object and identifying the foreground object as a product. The identification of the foreground object as a product can include performing optical character recognition on text imprinted on a foreground object. The identification of the foreground object as a product can include image recognition techniques. The identification of the foreground object as a product can include scanning of an optical code such as a barcode that is imprinted on the product.

Abstract: Techniques for manipulating an expandable video loop with replacement audio are provided. A video that includes a performance by an individual is accessed. One or more processors are used to identify a minimum desired loop within the performance by the individual. Video information is extracted from the video loop and analyzed with machine learning. An audio file is obtained based on a script written by a user. The script is combined with a synthesized voice which is created from the individual video performance to obtain the audio file. The extracted video information is used to manipulate the lips of the individual based on the audio file. A second video loop is created, combining the individual from the first video loop with the video of the manipulated lips of the individual and the synthesized audio file. The second video loop is appended to the end of the first video loop.

Abstract: Disclosed embodiments provide techniques for dynamic short-form video traversal with machine learning in an ecommerce environment. A graph structure associated with a library of short-form videos is accessed and customized in a back-end environment based on products for sale on a website. One or more of the customized short-form videos from the library are rendered to one or more users, along with an interactive overlay and an ecommerce environment. As the video is viewed, video consumption behavior data is collected and analyzed by a machine learning model. The machine learning model determines one or more next short-form videos from the graph structure for the user to view, based on sales goals, video consumption behavior data, and interaction with the user. The machine learning model can synthesize additional short-form videos and insert them into the graph structure in order to enhance viewer engagement and product sales.

Abstract: Disclosed embodiments provide techniques for synthesized responses to predictive livestream questions. A livestream featuring a host is accessed and is viewed by one or more viewers. The audio, video, and images from the livestream are analyzed and a plurality of potential questions from the one or viewers is predicted based on the analysis. An answer to each potential question is generated based on a large language model (LLM) neural network. A synthesized video segment is created for each answer generated by a generative AI chatbot linked to a LLM for each potential question. During the livestream, real-time questions from the one or more viewers are detected. The real-time questions are matched to the synthesized video segment answers and the matched synthesized video segment is rendered to the one or more livestream viewers. An ecommerce environment is rendered during the livestream to allow purchasing of products.

Abstract: Disclosed embodiments provide techniques for augmented performance replacement in a short-form video. A short-form video is accessed, including a performance by a first individual. Using one or more processors, the performance of the first individual is isolated. Specific elements of the performance including gestures, clothing, expressions, and accessories are included in the isolation process. An image of a second individual is retrieved and information on the second individual is extracted from the image. A second short-form video is created by replacing the performance of the first individual with the second individual. The second short-form video is augmented based on viewer interaction. The augmenting of the second short-form video occurs dynamically. The augmenting includes additional audio content based on comments, responses to live polls or surveys, or questions and answers from viewers. The augmenting includes switching audio content in the second short-form video with additional audio content.

Abstract: Disclosed techniques enable cluster-based dynamic content with multi-dimensional vectors for video content analysis. User-specific data vectors on a plurality of users are accessed, which include shopping history and video consumption behavior. A plurality of clusters, based on the user-specific data vectors, is developed. A user, from the plurality of users, is associated with one or more clusters from the plurality of clusters. The user is identified as viewing media content. A container unit is inserted into the media content that is being viewed and is populated with at least one short-form video from a library of short-form videos. The populating is based on the identifying. An ecommerce purchase of a product for sale to the user is enabled. The product for sale is relevant to the one or more clusters and the at least one short-form video. The ecommerce purchase is accomplished within a short-form video window.

Abstract: Techniques for object highlighting in an ecommerce short-form video are disclosed. The object highlighting can be associated with a product within the video, defining a highlighted product. The object highlighting can be performed automatically utilizing computer-implemented techniques. A short-form video from a library of short-form videos is accessed. A plurality of objects from a catalog of products featured in the short-form video is recognized. At least one of the plurality of objects displayed by a host is identified. A first object from the plurality of objects is selected. The first object is highlighted, which causes it to be surrounded by a boundary overlay in the short-form video. A representation of the first object is dynamically inserted into an on-screen product card. An ecommerce purchase of the first object is enabled within the short-form video.

Abstract: Techniques for manipulating video livestream background images are disclosed. A short-form video, such as a livestream video or livestream replay video, can be analyzed for context. Computer-implemented techniques may be used for performing entity detection, and can also detect a change in subject based on speech and/or actions of a host individual. The subject can include a particular product. The detecting a change in subject can include detecting a foreground object and identifying the foreground object as a product. The identification of the foreground object as a product can include performing optical character recognition on text imprinted on a foreground object. The identification of the foreground object as a product can include image recognition techniques. The identification of the foreground object as a product can include scanning of an optical code such as a barcode that is imprinted on the product.

Abstract: Techniques for tokenizing a manipulated short-form video are disclosed. A short-form video is obtained from a short-form environment that includes a short-form video server. The short-form video includes news, weather, traffic information, music, sports highlights, vlog entries, product information, how-to videos, livestream replays, and/or other content. Highlight segments within short-form videos are identified, and a new video is created, based on one or more identified highlight segments. The new video may also be a short-form video. The highlight segments may be from the original short-form video, or may come from a variety of other sources. The new video is used to enhance entertainment value. The new video is tokenized. The tokenization can be used to support ownership identification. The tokenization can be used to create a non-fungible token.

Abstract: Techniques for ordering items using ecommerce purchase within a short-form video environment are disclosed. A short-form video from a plurality of short-form videos delivered from a short-form video server is rendered. A product within the video is selected. The selecting is accomplished by clicking on or mousing over an object in the video. The product within the video is added to a virtual purchase cart based on the selecting. Contents of the virtual purchase cart are visible while the video is being viewed. A representation of the virtual purchase cart is displayed, wherein the representation is visible while viewing the short-form video. The virtual purchase cart is checked out. Contents of the virtual purchase cart are purchased. Purchase of the product is finalized upon conclusion of the short-form video. Finalizing purchase is accomplished using a batch order process. Batch order processing occurs upon conclusion of the short-form video.

Abstract: Techniques for display using a video stream interface based on third-party webpage information are disclosed. Information on one or more products is obtained from a website by a third party. The one or more products comprise a product, a service, a coupon, or a membership. A video about the one or more products is rendered by a video user interface to a user. The video user interface comprises a video player in combination with a user interface. The video user interface and the third party are interfaced between each other based on a user interaction with the video user interface. Product information is fetched from a server based on the interfacing between the video user interface and the third party. Further product information comprises a reaction, a chat, a transaction, a promotion, and an interaction. The video is augmented with further information based on the fetching.

Abstract: The present disclosure discloses a method and apparatus for mining community users, belonging to the field of Internet communications. The method includes: acquiring original community data of a community user; calculating intimacy scores of the community user with respect to other community users according to the original community data of the community user, the intimacy scores being used for indicating degrees of intimacy of the community user with respect to the other community users; clustering the community users according to the intimacy scores of the community user with respect to the other community users, and forming a community user circle; and displaying the community user circle to community users in the community user circle, so that the community users in the community user circle communicate with each other. The apparatus includes: a first acquiring module, a calculation module, a clustering module, and a display module.

Abstract: The present application provides an information pushing method and apparatus. The method comprises: collecting a pushing parameter of each piece of information pushed in a time segment T, the pushing parameter comprising information pushing time, an information pushing user, or the number of times of the information being accessed; determining, according to the collected pushing parameter, an information access parameter of each user in the time segment T, the information access parameter comprises at least: the number of times of the information being visited in the time segment T, an information access tendency, and time of a last access of the information in T, and the information access tendency being determined by the number of times of the information being accessed; and selecting, according to the information access parameter of each user in the time segment T, a target user meeting a requirement, and pushing information to the target user.

Abstract: An information recommendation method is provided for a terminal. The method includes obtaining at least one keyword, obtaining geographical location information corresponding to the keyword, and searching, within a range of a map interface display area, recommendation information relevant to geographical locations adjacent to the geographical location corresponding to the geographical location information. The method also includes displaying, according to the range of the map interface display area, geographical location information corresponding to the keyword, as well as the map interface having the recommendation information.

Abstract: Provided is a user question processing method and system. The method includes: extracting first feature information from a user question; calculating the similarity between the first feature and second feature information of each of at least two websites; posting the question on at least one of the at least two websites according to the similarity. The solution of the embodiment can be applied to a website providing a question and answer service, and the website can post a received user question on another website related to the concerned field of the question, thereby enlarging the scope of the user information exchange.

Abstract: The present disclosure discloses a method and apparatus for mining community users, belonging to the field of Internet communications. The method includes: acquiring original community data of a community user; calculating intimacy scores of the community user with respect to other community users according to the original community data of the community user, the intimacy scores being used for indicating degrees of intimacy of the community user with respect to the other community users; clustering the community users according to the intimacy scores of the community user with respect to the other community users, and forming a community user circle; and displaying the community user circle to community users in the community user circle, so that the community users in the community user circle communicate with each other. The apparatus includes: a first acquiring module, a calculation module, a clustering module, and a display module.

Abstract: The present application provides an information pushing method and apparatus. The method comprises: collecting a pushing parameter of each piece of information pushed in a time segment T, the pushing parameter comprising information pushing time, an information pushing user, or the number of times of the information being accessed; determining, according to the collected pushing parameter, an information access parameter of each user in the time segment T, the information access parameter comprises at least: the number of times of the information being visited in the time segment T, an information access tendency, and time of a last access of the information in T, and the information access tendency being determined by the number of times of the information being accessed; and selecting, according to the information access parameter of each user in the time segment T, a target user meeting a requirement, and pushing information to the target user.

Abstract: Provided is a user question processing method and system. The method includes: extracting first feature information from a user question; calculating the similarity between the first feature and second feature information of each of at least two websites; posting the question on at least one of the at least two websites according to the similarity. The solution of the embodiment can be applied to a website providing a question and answer service, and the website can post a received user question on another website related to the concerned field of the question, thereby enlarging the scope of the user information exchange.

Abstract: An information recommendation method is provided for a terminal. The method includes obtaining at least one keyword, obtaining geographical location information corresponding to the keyword, and searching, within a range of a map interface display area, recommendation information relevant to geographical locations adjacent to the geographical location corresponding to the geographical location information. The method also includes displaying, according to the range of the map interface display area, geographical location information corresponding to the keyword, as well as the map interface having the recommendation information.

Abstract: In one embodiment, ranking search results generated in response to search queries comprises: receiving, a search query from a user; identifying a plurality of network contents in response to the search query; determining one or more ranking criteria for the search query; presenting the ranking criteria to the user; receiving from the user one or more weights assigned to one or more of the ranking criteria; ranking the identified network contents based on the ranking criteria and the weights; and presenting the network contents to the user in an order according to their ranking.