A system and method for providing an online, real-time exercise buddy and trainer matching service is disclosed. The system includes a trainer mobile device, an exercise buddy a trainer's current location data to the web server, a trainer query processor for responding to an exercise buddy query for available trainers, and a trainer messenger for communicating with the exercise buddy mobile devices. The exercise buddy mobile device has an exercise buddy trainer locator for obtaining identities and locations of one or more trainers currently available, an exercise buddy query generator for generating a trainer profile query to one of the currently available trainers, and an exercise buddy messenger for communicating with one or more of the trainer messengers. The web server has a trainer tracker for communicating with one or more of the trainer locators to maintain a set of currently available trainers and their respective current locations, a query manager for receiving and processing requests from one or more exercise buddy trainer locators, and a notification manager for providing all system notifications to the exercise buddy mobile device and trainer mobile device regarding appointments and messages.

In some examples, a system can include at least one processor and a memory storing instructions. In various examples, the at least one processor executes the instructions to, during a chat session, obtain, from a computing device of a first user, session data associated with the chat session and a first user. Additionally, the at least one processor executes the instructions to obtain a first set of data identifying a set of price drop items associated with the chat session, and obtain a second set of data identifying a set of attribute values associated with one or more attribute features of each item type. Based on the first set of data and the second set of data, the at least one processor may execute the instructions to implement a first set of operations that generate a third set of data. In some examples, the third set of data including affinity value data for each item of the set of price drop items. Moreover, the at least one processor executes the instructions to obtain a fourth set of data identifying a set of items and a score for each item of the set of items. In some examples, the score characterizing a likelihood the user will purchase the corresponding user during a future time interval. Further, the at least one processor may execute the instructions to, implement a second set of operations that generates a fifth set of data, based on the third set of data and the fourth set of.

A system including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving historical in-session user activity information; building a customer journey graph based on the historical in-session user activity information; generating suggested queries based on the customer journey graph; and in response to identifying an input query for a user session of a user: re-ranking the suggested queries; and displaying the suggested queries, as re-ranked, to the user via a graphical user interface (GUI). Other embodiments are described.

In some embodiments, apparatuses and methods are provided herein useful for event detection relative to catalog items available for commercial sale. In some embodiments, there is provided a system for event detection relative to catalog items available for commercial sale including an interface; a memory; and the first control circuit. The first control circuit configured to execute the computer-implemented code to: receive event data corresponding to one or more events referred to in one or more online sources; determine a corresponding score for each of the event data based on a relative level of negativity; identify one or more topics and key phrases of one or more of the event data having at least a specified score; identify one or more catalog items that have a similarity to the one or more topics and key phrases; and output an indication.

Systems and methods to identify a filter set in a keyword query are described. The system receives a query from a client machine. The system identifies filter sets based on the query and a based on rules. The filter sets include a first filter set that includes a first filter. The rules are utilized to associate at the least one keyword from the query to the first filter. The system further scores the filter sets based on probabilities to generate scores. The probabilities describe occurrences of attribute-value pairs in listings that respectively describe items that were previously transacted on a network-based marketplace. The system further identifies the first filter set from the filter sets based on the scores, generates a user interface including search results that are identified based on the identified first filter set, and communicates the user interface, over the network, to the client machine.

Product catalogs are received at a first point-of-sale (POS) device of a first business entity from POS devices of a second business entity and a third business entity. At least one product specification is selected from the product catalog of the second business entity and at least one product specification is selected from the third product catalog of the third business entity. A product catalog for the first business entity is then generated at the first POS device that includes a product specification that is different from, but informed by, the received product specifications. The generated catalog is transmitted by the first POS device to a fourth POS device of a fourth business entity.

Application Programming Interfaces (APIs) are exposed by a service provider to point-of-sale (POS) devices of a plurality of merchants. Product catalogs including product specifications are received from merchants via a merchant support application executing on the POS devices. Pricing records are received from the POS devices of the merchants that indicate prices, locations, and time periods for the prices. Sales data including quantity, time, and location of historical sales is obtained. A price recommendation is provided to a merchant based at least in part on correlations between the historical sales data and pricing.

An image search apparatus includes a search processing unit and a display processing unit. The search processing unit extracts one or more images that meet a search condition, from a plurality of images associated with user accounts. The display processing unit displays the one or more images extracted by the search processing unit in such a manner that types of user accounts corresponding to the images can be discriminated.

An apparatus, including a central computer, including a processor, database, and transmitter, and a distributed ledger and blockchain system. The central computer receives a search request, processes information contained in the search request, generates a search report, and transmits the search report to a user device. The central computer processes information to allow a user or the user device to obtain information regarding the asset from an external computer, allows the user to communicate with a counterparty device via a chat room or video conference, creates a transaction matter record for with the asset, and records activity in the chat room or records the video conference. The apparatus stores information regarding the asset, information regarding a communication between the user and counterparty, or information regarding the information recorded in the chat room or information regarding the video recording, in the database and in the distributed ledger and blockchain system.

Various embodiments relate generally to computer science, data science, software, and computer program and platform architectures, including receiving from a device geolocation data and input data, parsing the input data, evaluating the event data and the location data to generate shipment data, parsing the account to identify subscription data, selecting a sample associated with another item, the sample being selected by an adaptive distribution platform, transmitting other data to the device that renders an electronically-displayed message on an interface on the device, calling one or more data services to retrieve item data associated with the item, and generating a retrieval option associated with the item if the threshold, the query, and the additional input data indicates the device is within a numerical range of the first location or an alternative location and retrieval of the item from the first location is indicated.