A method for returning a results page responsive to a user search query, such as a search query on a web site, may include receiving a search query from a user, determining, responsive to the query, a set of relevant products from a plurality of product listings based on a similarity of the user query to the respective product listings, retrieving inventory information respective of each of the relevant products, the inventory information comprising one or more available fulfillment channels respective of each of the relevant products, ranking the relevant products with respect to each other according to the inventory information, and returning, to the user, a search result comprising a list of the relevant products, ordered according to the ranking.

Aspects described herein may allow for generating a customized price rating using a machine learning algorithm. This may have the effect of improving the display of information about merchants by including customized, personalized price ratings that better reflect the tastes and preferences of a user or group of users. According to some aspects, these and other benefits may be achieved by using a machine learning model, trained to receive input corresponding to both user data and merchant data and output an indication of customized price rating(s) for the merchant that is specific to one or more users, and then to generate information about the merchant for display that includes the customized price rating(s).

Devices and techniques are generally described for ranking of search results based on multiple objectives. A first ranking for a plurality of search results is determined using a first machine learning model optimized for a first objective for ranking search results. A second objective for ranking search results is determined. A constraint is determined for the at least one second objective. The first machine learning model is iteratively updated to generate an updated machine learning model by minimizing a cost of the first objective subject to the constraint, wherein violations of the constraint are penalized using a penalty term. A second ranking for the plurality of search results is determined using the updated machine learning model. The search results of the second ranking are reordered relative to the search results of the first ranking.

A system and method of an intelligent shopping infrastructure is provided. A data storage of current inventory from a plurality of merchants is maintained. User preferences that indicate an item affinity of a user are retrieved. Furthermore, a location of the user is detected. Using the detected location, available inventory, and item affinity, an available item from the current inventory of a merchant located within a predetermined distance to the location of the user that match the item affinity of the user is identified. The available item is presented on a user interface of a client device of the user.

Methods and systems for publishing a playlist are disclosed. A user generates or selects a playlist, which is then provided (e.g., uploaded) for publishing. A playlist identifying at least one of one or more tracks and one or more albums is received. The playlist may then be published such that the playlist is viewable by one or more individuals. A user may then purchase one or more tracks/albums identified in the playlist via an online store.

Systems and techniques for pre-coordinating delivery and service for item searching and filtering are described herein. Large or specialized products, such as household appliances, may require setup and installation services at the time of delivery, leading to additional complexity and coordination from multiple service providers. The present techniques and system configurations address these complexities by providing functionality in search and information user interfaces, which enable a user to search, filter, and identify the delivery and installation availability for a listing of products. The present techniques and system configurations may calculate and cache the availability dates for service fulfillment of respective products. The present techniques and system configurations enable a user to request and receive a listing of the earliest available products for delivery and installation based on the cached availability dates for service fulfillment of respective products.

Processing of vehicle inventory information is described that allows vehicles that satisfy financial institution's financing requirements, as well as a purchaser's requirements are described. The inventory information is processed to determining eligible vehicles that meet the purchaser's requirements. The financial requirements are determined from financial booking information that describes how a financial institution determines the financing for vehicles providing a list of vehicles which can be financed by a financial institution while meeting the purchaser's requirements.

Disclosed are systems and methods utilizing neural contextual bandit for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to make item recommendations using latent relations and latent representations, which can improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods use neural network modeling in automatic selection of a number of items for recommendation to a user and using feedback in connection with the recommendation for further training of the model(s).

Methods and systems to automatically respond to a request for product information are described. In one embodiment, a data collection module may collect product data over a network, identify that the product data is related to a particular product, and store the product data and an association between the product data and the particular product in a database. An instant messaging engine may receive a request for the product data after the product data is stored in the database and an interpreter module may identify, in response to the request, the request to correspond to the particular product and retrieve the product data based on the association between the particular product and the product data. The instant messaging engine may also transmit, using an instant messaging protocol, a response to the request, the response including the product data.

A computer-implemented method of operating a user-searchable database system of curated, themed digital content data, which method includes operating a Connects function to process and store heterogeneous digital content comprising topic data as curated topic data and identified connections between each topic and other topics, and operating a user interface to enable users to search the curated topics and present a search results page in a way that invites further investigation of topics searched, including a list or compilation of topics matching terms defining the search. The method also includes displaying topic elements corresponding to the list or compilation of matching topics in prioritized order based on each topic's relatedness to the search.