A method for assisting selection of an accommodation by an accommodation search system includes receiving user credentials from a user device; receiving trip parameters from the user device; determining a basic list of accommodations that correspond with the trip parameters; determining one or more factors that apply to each individual accommodation of the basic list of accommodations; applying a weight value to each of the one or more factors that apply to each individual accommodation of the basic list of accommodations; aggregating the weight values of the one or more factors that apply to each individual accommodation to determine an aggregate weighted score for each individual accommodation of the basic list of accommodations; sorting the basic list of accommodations into a sorted list of accommodations based on the aggregate weighted score for each individual accommodation; and providing the sorted list of accommodations to the user device for viewing by a user.

A guided search system for suggesting and arranging filter criteria within a user interface for presentation to a user to help guide the user’s search for listings is disclosed. The system builds one or more filter criteria frequency data structures indicative of the number of times each filter criterion has been used to filter search results and how often different filter criteria are used together. The system uses the frequency data structures to predict which filter criteria a user will likely employ to narrow their search given the filter criteria the user has already used. The system provides techniques for arranging or rearranging filter criteria within a user interface, by moving, placing, or ordering suggested filter criteria within the user interface, where a user is likely to be able to recognize and interact with the placed filter criteria, based on the determined amounts of use.

Disclosed herein are systems and methods for personal taste recommendation. In one implementation, an image set is obtained at a recommendation system. The image set has at least one image of a wine list menu having one or more wines for a dining location, and the image set is captured using a camera of a user device. An identified wine is generated for each of the one or more wines on the wine list menu based on a match to a known wine. A personalized wine menu unique to a particular user set for the dining location is generated by generating a personalized taste match of the particular user set for each of the one or more identified wines.

An online system provides options for selection by a user. The online system receives a query entered on a client device. The online system queries an item database to retrieve a set of items related to the query and assigns each item to a product category in a predefined taxonomy that maps items to product categories. The online system inputs each item into a prediction model trained to predict a probability that an item is available at a warehouse location. The online system determines that a first product category has low availability based on predicted probabilities for items in the first product category. Responsive to determining that a first product category has low availability, the online system generates a generic item for the first product category and sends a list of items including the generic item to the client device for display responsive to the query.

Systems and methods of presenting search results, in response to a general search query, are provided in a manner intended to improve the efficiency of a user that uses general search queries A given user may be interested in results of a specific type, and may consistently interact with the system in a similar manner following conducting a given search. The system tracks requests from a user following a presentation of search results in response to a general search query. This is stored as tracking information. The tracking information is processed to identify patterns in user behaviour, and search results for further search queries are then presented in a manner that takes into account the tracking information. In a specific embodiment, this is applied in an e-commerce context. The tracking information may be stored in association with commerce object types such as products, orders, returns, customers.

A computer-implemented method for providing a user interface to a user includes receiving wearable article data describing wearable articles for physical shipment to users via electronic interactions; generating a user interface for an electronic transactions platform based at least on the received wearable article data; causing display of the user interface depicting one or more of the wearable articles; receiving a selection of a wearable article of the displayed one or more wearable articles via the user interface; determining a condition of the selected wearable article at least based on the received wearable article data in response to the selection; reserving the selected wearable article for a predetermined period of time in response to the selection; updating and causing display of the user interface depicting the selected wearable article and the determined condition; and determining whether the selected wearable article is purchased or borrowed during the predetermined period of time.

Methods and systems for forecasting demand for items across multiple channels are disclosed. In some implementations, multi-channel demand forecasting may be performed on a per-item, per-location basis, by selectively generating item-location forecasts for each item and location within a supply chain for each channel, or disaggregating a chain level forecast on a per-item basis to each location. Particular selection of an appropriate model, and selective training of models, allows for efficient computation of such forecasts across a large supply chain with thousands of locations and hundreds of thousands, or millions, of items for which forecasts are generated.

Systems, methods, and computer-readable media are disclosed for systems and methods for semantic video segmentation to identify objects appearing in video content. Example methods may include determining a voice-based request at a first device to identify an object appearing in video content, determining a first video identifier for video content being consumed in association with the first device, determining a timestamp associated with the video content at a time the voice-based request was received, determining, using one or more knowledge graphs, a set of product identifiers for products present in the video content at a scene corresponding to the timestamp, and generating a response to the voice-based request comprising a first product identifier in the set of product identifiers.

System and computer-implemented image search engine of analyzing tags associated with a sequence of images presented to a user to present a current object of interest of the user is disclosed. An image from among a plurality of images is presented on an electronic display. The image is associated with a set of tags. An input is received indicating a user's preference for the image. A plurality of tags is processed based on the preference and the set of tags to determine a next set of tags from the plurality of tags. A next image is determined from the plurality of images based on the next set of tags. The next image represents a physical object, different from a physical object represented by the previous image. A sequence of images is generated by repeating the above process with the next image in place of the previous image for present a user's current object of interest.

To automatically streamline a vehicle claims process after a vehicle is damaged in a crash, sensor data from a plurality of sensors may be received and analyzed to determine crash information and to detect a crash involving the vehicle. The crash information may be transmitted to a server device, which may determine a treatment complexity level based on the crash information. A client device may receive crash repair information from the server device, the crash repair information including the treatment complexity level, and display the crash repair information.