Abstract: Computer-based systems and methods for risk/reward detection, visualization, and resolution using modular chainable algorithms are provided. The system allows for computer-based modeling of large data sets with improving processing speed and utilizing fewer computational resources. The modular chainable algorithms included embedded program code executable by a processor for performing a data modeling or analytic function on source data, visualization code for visualizing output of the program code, and workflow code for automatically performing one or more actions relating to the data modeling or analytic function.

Abstract: The present disclosure relates to a method for providing content using communication with animals and the program and the system therefor, which can analyze information of a pet, such as the pet's action, noise, and surrounding environment, process the information into a message, provide a user with the message, search for content matching the message after analyzing the user's response message, and output and provide the contents for the pet.

Abstract: Systems and methods for gathering research data using multiple monitoring devices are provided. An example method includes accessing, at a first monitoring device and a second monitoring device, first timing data produced by an external source, the first monitoring device located remotely from the second monitoring device. The example method additionally includes adjusting second timing data generated by the first monitoring device based on the first timing data and adjusting third timing data generated by the second monitoring device based on the first timing data. The example method also includes accessing, at a processing facility, the first timing data and adjusting fourth timing data generated by the processing facility based on the first timing data.

Abstract: A method includes identifying media content items for a playlist, identifying interstitials for the playlist, and pairing the media content items based on the interstitials. Each resulting pair of media content items is related to one of the interstitials. The method also includes arranging the resulting pairs of media content items in the playlist together with the interstitials that are each related to both media content items in a respective pair of the resulting pairs. Each interstitial is inserted between a first media content item and a second media content item in a respective pair of the resulting pairs in the playlist.

Abstract: An electronic device stores a plurality of vector representations for respective media content items in a vector space, where each vector represents a media content item. The electronic device receives a first set of input parameters representing a previous session of a user of the media-providing service where the previous session included two or more of the respective media content items. The electronic device then receives a second set of input parameters representing a current context of the user and provides the first set of input parameters and the second set of input parameters to a neural network to generate a prediction vector for a current session. The prediction vector is embedded in the vector space.

Abstract: An image-to-image search method which is implemented in a server is provided. The server receives an image to be searched and at least one category of similarity search sent by a terminal. The server extracts a feature code of the image by using a trained hash model that uniquely corresponds to the at least one category of similarity search according to the received image and the at least one category of similarity search. The server obtains target images that are similar to the image according to the feature code of the image in a feature code library that uniquely corresponds to the at least one category of similarity search. The server sends the target images to the terminal.

Abstract: The present disclosure relates to methods, systems, and non-transitory computer-readable media for retrieving digital images in response to queries. For example, in one or more embodiments, the disclosed systems receive a query comprising text and generates a cross-lingual-multimodal embedding for the text within a multimodal embedding space. The disclosed systems further identifies an image embedding for a digital image that corresponds to (e.g., is relevant to) the text from the query based on an embedding distance between the image embedding and the cross-lingual-multimodal embedding for the text within the multimodal embedding space. Accordingly, the disclosed systems retrieve the digital image associated with the image embedding for display on a client device, such as the client device that submitted the query.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. An improved approach has been described to automatically generate a log parser by analysis of the line content of a log. In addition, an efficient approach has been described to extract key-value content from the log content.

Abstract: A system for unloading tables of a database is provided. In some aspects, the system performs operations including determining that a number of accesses to a table occurring within a time period has satisfied an access threshold. The operations may further include identifying, in response to the determining, a first timestamp indicating a most recent access to the table. The operations may further include determining whether a difference between a current timestamp and the first timestamp satisfies a first time threshold. The operations may further include comparing, in response to the difference satisfying the first time threshold, a ratio of the difference and a size of the table to a ratio threshold. The operations may further include unloading, in response to satisfying the ratio threshold, the table. The operations may further include adjusting, based on the feedback, the first time threshold and/or the ratio threshold.

Abstract: Provided is a method of image searching based on artificial intelligence (AI), the method including acquiring retrieved information, which includes at least one of a retrieved image and an image address, and a user query on the basis of a search result of an image search engine, detecting a keyword-category combination on the basis of a type of the acquired user query, determining whether cache data that matches the detected keyword-category combination exists, generating, in response to absence of the cache data that matches the keyword-category combination, an object-category combination through an AI technology based object detection on the acquired retrieved information.

Abstract: Methods and systems are disclosed for a sequential federated query for information in a residential, commercial, and/or distributed system.

Abstract: A system for query processing of a frequency of utility indicators comprises a processor operable to receive a transmission from a first wearable device comprising entity file information associated with a first entity. The processor is operable to generate a file vector comprising one or more files of a digital folder based on an association with one or more utility indicators and determine that one of the files corresponds to a greater number of the one or more utility indicators than the remaining files based, at least in part, on the entity file information. The processor is operable to assign the determined one of the one or more files as a first file within the file vector and send a transmission to the first wearable device comprising the file vector and an indication to utilize the first file in an interaction between the first user and the first entity.

Abstract: An end-to-end software framework is provided for information extraction, enrichment, and caching in applications that involve exploring real-world data through a camera-based viewport in an augmented reality (AR) setting. It allows users to gather supplementary information through cross-modal data fusion against cloud-based datastores. Additional context is provided by retrieving data units from remote datastores that are relevant to the queried item. Given that such datastores often do not fit in main memory, a client-server architecture is used. Users interact with real-world objects via a camera-enabled client interface, and queries are executed using gesture-based interactions as supplementary information is retrieved from a back-end server (if necessary) and overlaid in the client's live camera-view.

Abstract: In various implementations, streams are sent and received by a computing device engaged in an authoring session with respect to an electronic document. The computing device stores the streams in multiple container files associated with an instance of the electronic document open on the computing device. The device maintains an indices file to reflect a presence of the streams in the container files, such that fast access can be provided to the streams at a later time. The indices file comprises multiple probabilistic data structures corresponding to the container files that each indicate on a probabilistic basis whether a given stream is present in a corresponding one of the container files. The computing device uses the indices file to retrieve the streams from the container files.

Abstract: A server obtains user data for a respective user, including data corresponding to the respective user's consumption of media in a first content domain. Before obtaining, for the respective user, data corresponding to a second content domain, the server uses a neural network to generate a user embedding for the respective user based on the user data. The server generates, for a plurality of content items of the second content domain consumed by users other than the respective user, a respective content item embedding. The respective content item embedding is based on user embeddings of the at least one user other than the respective user. The server system determines, using the user embedding for the respective user and respective content item embeddings, a first content item in the second content domain that meets matching criteria for the respective user and provides the first content item to the respective user.

Abstract: Disclosed embodiments provide a multimedia file categorizing, information processing, and model training method, system, and device. The method comprises determining a plurality of feature combinations according to respective feature sets corresponding to at least two types of modality information in a multimedia file; determining a semantically relevant feature combination by using a first computational model according to the plurality of feature combinations; and categorizing the multimedia file by using the first computational model with reference to the semantically relevant feature combination. The technical solutions provided by the disclosed embodiments identify a semantically relevant feature combination in a process of categorizing a multimedia file by synthesizing features corresponding to a plurality of modalities of the multimedia file. The semantically relevant feature combination has a stronger expression capability and higher value.

Abstract: Methods, apparatuses, and non-transitory machine-readable media for image location based on a perceived interest are described. Apparatuses can include a display, a memory device, and a controller. In an example, the controller can assign a perceived interest and sort images based in part on the perceived interest. In another example, a method can include the assigning, by a controller coupled to a memory device, a perceived interest of an image of a plurality of images, wherein the perceived interest is assigned based in part on a period of time the image is visible on a display coupled to the memory device, selecting the image from an initial viewing location responsive to the assigned perceived interest; and transferring the image to a different viewing location, wherein the initial viewing location and the different viewing location are visible on the display.

Abstract: A method, computer program, and computer system is provided for multimodal content retrieval. A search query corresponding to a request for content is received. Content features corresponding to a subset of content items from among a plurality of content items are retrieved based on receiving the search query. Similarity values are calculated between the search query and the retrieved content features. Attention scores are determined for the calculated similarity values. A content item is selected from among the subset of content items of the plurality of content items. The selected content item contains a content feature corresponding to a highest attention score of the attention scores.

Abstract: Various embodiments are provided for implementing an approximation nearest neighbour (ANN) search in a computing environment are provided. An approximation nearest neighbour (ANN) of a plurality of feature vectors in hyper-planes with dynamically variable subspaces by searching an inverted index may be retrieved.

Abstract: Embodiments of the present application provide an image retrieval method, device, and electronic device. In the method, a query image is acquired; a target feature of the query image is determined based on a pre-trained deep neural network; wherein the deep neural network is obtained by training according to respective sample images and predetermined features, which can form the target feature, corresponding to the respective sample images; target features of a plurality of images to be retrieved is obtained; a similarity between the target feature of the query image and the target feature of each image to be retrieved is calculated; a retrieval image corresponding to the query image is determined from the plurality of images to be retrieved according to the calculated similarities.