A publishing user identifies a product offered by the user to an online system by providing multiple images of a product viewed at different angles to the online system. The online system applies an identification model to content items obtained from other users to identify the product. From images of the product from the publishing user and content items from other users having at least a threshold confidence of including the product, the online system generates a three-dimensional reconstruction of the product. The online system may subsequently use the three-dimensional reconstruction of the product to display the product to users or to allow other users to identify the product from the online system.

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of: providing a search engine that includes, or communicates with, a recall personalization model configured to generate personalized recall sets of search results for users; receiving, at the search engine, a search query submitted by a user; generating, using the recall personalization module, a feature vector for the user that includes contextual features associated with the user; generating, using the recall personalization model, a simulated narrowing query that includes the search query submitted by the user and the feature vector; generating, using the search engine, a recall set of search results based, at least in part, on the simulated narrowing query. Other embodiments are disclosed herein.

Provided is an information providing method of an electronic apparatus. The information providing method may include acquiring a search term from a user, identifying at least one first category related to a product corresponding to the search term, identifying a second category corresponding to a subcategory of the first category and an image corresponding to the second category, and displaying a product list corresponding to the search term in a first region and displaying the image and information on the second category in a second region distinct from the first region.

A method for sharing surveillance video and receiving payment therefor utilizing a video sharing operator/manager is provided including providing access to video segments created by virtual viewpoint video surveillance camera systems tagged with capture information, providing a connection from each of the camera systems to the video sharing operator/manager and registering sellers of video. The method continues with receiving uploaded capture information on a searchable database from the camera systems and registering buyers. The method continues with receiving a search request from a buyer based on a specific set of capture information and receiving an uploaded requested video segment in response to the search request. The seller receives payment for the video segment from the buyer and, the video segment is downloaded to the buyer.

Systems and methods are disclosed herein for machine-learned vehicle desking operations. A vehicle recommendation system receives a request to determine similarities between vehicles. The request can indicate an identifier of a user-specified vehicle associated with vehicle attribute values (e.g., white color, sedan body style, 2020 manufacturing year, etc.). A machine learning model can determine respective embeddings for the vehicle attribute values and the respective embeddings can be concatenated, where the concatenated embeddings represent the user-specified vehicle in one embedding. The system can determine similarity metrics of the concatenated embeddings against reference embeddings. For example, a cosine similarity value can be determined for the concatenated embedding of the user-specified vehicle and the respective reference embeddings. Each similarity metric can represent a measure of similarity between the user-specified vehicle and a given vehicle. The vehicle recommendation system provides for display identifiers of vehicles that are ranked based on the determined similarity metrics.

The disclosed subject matter relates to a system and method for providing an extended search. The system generates a list of synonym groups based on previous engagements linking queries and products. With receipt of a user query, the system accesses synonyms to the search terms and incorporates them into the query of the product catalog in order to obtain a complete set of results. The creation of the synonym groups uses various approaches including sequence tagging and graph embedding to identify synonyms in the query and the item titles.

A digital promotion processing system may include user devices each associated with a respective different user and a promotion processing server. The promotion processing server may be configured to store historical purchase data for durable good products purchased by the users. The historical purchase data may include a replacement lifespan and a purchase date. The promotion processing server may also be configured to determine an expected product replacement date for a given durable good product from among the durable good products based upon an elapsed time from the purchase date relative to the replacement lifespan, and upon reaching the expected product replacement date, generate and communicate a digital promotion for a replacement durable good product to a corresponding one of the user devices.

Systems and method are provided for AI-based product recommendation generation. One method includes, predicting, using a model, a plurality of recommended products, by determining a time span associated with a user identifier; retrieving at least one query submitted by a user associated with the user identifier during the time span; extracting attributes; determining a product category based on the extracted attributes; generating a list of products based on the determined product category; generating a list of recommended products based on the generated list of products; and modifying a user interface element associated with a webpage to include the generated list of recommended products.

A web-based platform application for managing rules of a programming object is described. The platform application receives, from a client device, a definition of a product via a web page of a product configuration platform. The definition identifying attributes of the product. The platform application provides a rule configuration template in the web page of the product. The platform application receives entries in the rule configuration template. The entries indicate values for corresponding rule attributes of the rule configuration template. The platform application forms a product rule configuration based on the entries in the rule configuration template, and generates the programming object based on the definition of the product and the product rule configuration.

The disclosed subject matter relates to a system and method for personalizing customer experience at a retailer's physical location in order to increase sales and customer satisfaction. The personalization is based upon classification of customer's online interaction with the retailer. Upon detecting the customer's presence at the retailer's physical location, data of the customer's online interactions is retrieved and classified based on the type of online interactions and temporal characteristics. Push content is transmitted to the customer, the push content being based upon at least the classification and data associated with retailer's physical location.