Aspects of the subject disclosure may include, for example, observing a plurality of objects viewed through a smart lens, wherein the plurality of objects are in a frame of an image viewed by the smart lens, determining an identification for an object of the plurality of objects, assigning tag information for the object based on the identification, storing the tag information for the object and the frame in which the object was observed, receiving a recall request for the object, retrieving the tag information for the object and the frame responsive to the receiving the recall request, and displaying the tag information and the frame. Other embodiments are disclosed.

Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. Specifically, in certain embodiments, historical transaction data associated with a particular vehicle configuration may be obtained and processed to determine pricing data associated with the vehicle configuration. The historical transaction data or determined pricing data may then be presented in an intuitive manner.

A cloud-based system for use by retail store employees or customers at any location to facilitate the sale of automotive tires to consumers is provided. The system accesses multiple independent tire inventory systems from different distributors/manufacturers and provides a personalized set of recommendation tire options and accompanying TPMS service packs.

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 a customized price rating for the merchant that is specific to the user, and then to generate information about the merchant for display that includes the customized price rating.

Systems and methods for generating, administering and analyzing a user experience study are provided. In particular, intents can be generated from a user experience study by applying one or more screener questions to participants and subjecting the screened participants to one or more tasks. Corresponding clickstreams and success data for each participant engaging in the tasks can be recorded. The success and clickstream data can also be aggregated for all the screened participants as aggregated results. Video data including audio for each of the screened participants can also be recorded.

An online concierge shopping system identifies recipes to users to encourage them to include items from the recipes in orders. The online concierge system maintains user embeddings for users and recipe embeddings for recipes. For users who have not placed orders, recipes are recommended based on global user interactions with recipes. Users who have previously ordered items from recipes are suggested recipes selected based on a similarity of their user embedding to recipe embeddings. Users who have purchased items but not from recipes are compared to a set of similar users based on the user embeddings, and recipes with which users of the set of similar users interacted are used for identifying recipes to the users. A recipe graph may be maintained by the online concierge system to identify similarities between recipes for expanding candidate recipes to suggest to users.

A method for comparing decision options automatically determines factors for a set of decision options. Each of the factors defines a respective attribute of the set of decision options. The method provides the factors to a graphical user interface. The method receives a user preference value for at least one factor. The method then normalizes an attribute value of each factor. The method calculates a user preference score for each decision option as a function of the user preference value and the normalized attribute value for each factor. The method ranks the set of decision options based on the calculated user preference score for the subject decision option relative to each other decision option of the set of decision options. The method provides a ranked list of the set of decision options to the graphical user interface in response to ranking the set of decision options.

Apparatus and associated methods relate to presenting for selection services comprising at least one bundled set of healthcare services to be performed separately by respective providers, determining a bundle price for the at least one bundled set of healthcare services, and in response to receiving payment in an amount of the bundle price, generating a purchase data record selectively redeemable to receive each of the at least one bundled set of healthcare services, and transmitting a unique confirmation number generated for the purchase data record. One or more service of the bundled set may be a dental or veterinary service. The bundle price may be based on a location or time at which at least one service will be performed and may be determined using a user's remaining insurance deductible. Payment may be disbursed to multiple providers of the bundled set of healthcare services. A payment may be virtual funds.

An information processing device and a program are provided that enable a purchaser to compare provision conditions, such as the sales price of a product, in purchasing the product. The information processing device is provided with: a reception unit; a prediction unit; a specification unit; and an information generation unit. The reception unit is configured to receive a character or a character string, and input destination identification information. The input destination identification information makes it possible to identify an input destination of a character or a character string. The prediction unit is configured to predict, in accordance with the input destination information received by the reception unit, a word based on the character or character string received by the reception unit. The specification unit is configured to specify products or services related to the word. The information generation unit is configured to generate display information that displays the names of products or services as candidates of input character strings.

Methods and systems are disclosed for determining resource suitability based at least in part on physical geographic mapping data. A learning/learning engine may be trained to determine such resource suitability using training data. The trained learning/learning engine may then me used to generate suitability indicators. The suitability indicators may be rendered in association with a map comprising the resource. The resource may be configurable to be shared amongst a plurality of physical resource users in a time displaced manner. learning