首页|'Systems and Methods for Detecting Real-time Issues in Guest-Host Messages Using Machine Learning Models' in Patent Application Approval Process (USPTO 20240346 454)
'Systems and Methods for Detecting Real-time Issues in Guest-Host Messages Using Machine Learning Models' in Patent Application Approval Process (USPTO 20240346 454)
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The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Web or cloud-based systems may help users perfo rm a variety of tasks, a common one being e-commerce websites that permit users to buy, book, or reserve products and/or services. Typically, the customer user of such a site performs such tasks (e.g., purchasing, booking) themselves, using the website as a tool for facilitating the transaction. After a customer purcha ses or books a product or a service, the customer may want to interact with the seller or the owner of that product or service. For example, a host may post a p roperty listing in an online marketplace and a guest may book that property. Fol lowing that initial purchase or agreement to book, the guest and the host may us e a conversational messaging interface for updates or alerts, or for information al purposes. Sometimes, the guest may send the host a message that indicates a r eal-time issue (e.g., “I can’t get into the listing”). Conversely, the host may send the guest a message that indicates another issue (e.g., I need you to leave the listing”). Conventional marketplaces either do not provide conversational m essaging interfaces for information exchange between parties or lack sophisticat ion in handling messages. For example, some real-time issue handling may not sca le with number of messages or users. Different types of users may have different needs for alerts. Accuracy is important when handling messages and generating r esponses. Providing inaccurate intercepts or responses may annoy users and turn them away from the platform.”
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