Company: TCOM
Filing Date: 2025-04-11
Form Type: 20-F
Source: 0001193125-25-078429
Chunk: 97

Company: Trip.com Group Ltd
Filing Date: 2025-04-11
Form: 20-F
Item: Item 4
Chunk 97
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 knowledge graph, and especially, improved customer services to our global user base, among others. The application of the technologies benefits not only our users, but also our ecosystem partners. 
 For our users, our technologies enable personalized recommendations, a streamlined user experience, enhanced user engagement, and the sharing and viewing of user-generated content. We use both public and private cloud technologies to optimize operational efficiency. Some of the core technologies underlying our user support include (i) CtripIM, an instant messenger system developed in-house, which offers a streamlined problem-solving process, (ii) Softswitch, which enables us to securely encrypt users’ displayed phone numbers to prevent leakage of sensitive user information, (iii) SoftPBX, a telephone system software that distributes calls through the intranet to different operators after the user’s phone call is connected. These technologies enable us to handle user requests more efficiently, support our users in times of traffic spikes, enhance system stability, and ensure consistent availability to our users, (iv) WenDao/TripGenie, a big-data-driven, intelligent travel assistant that provides users with questions and answers related to itinerary planning, information gathering, and others, and (v) TripBest, a ranking system for products in travelling destinations, which comprehensively evaluates factors such as user reviews, sales and popularity to provide users with the best product recommendations. 
 
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 For the ecosystem partners, our technologies enable marketing and optimize operating efficiency based on traveler preference and accurate demand predictions. We offer a variety of solutions to our ecosystem partners, such as (i) e-booking system for accommodation partners, which provides standardized information input to accommodation partners to digitalize their offerings, and (ii) pricing error monitoring system for airfare, which detects flight tickets with abnormally low fares (bug fares) using anomaly detection models based on massive historical and real-time airfare data. 
 Proprietary Search and Transaction Engines 
 We apply proprietary technologies in flight ticket search and accommodation search and transactions, which help us attract and retain users and improve their experiences on our platform. These technologies are able to process data that covers the global product offerings available on our platform, use optimized algorithms to reduce computational cost, shorten search latency and processing time, and generate relevant results swiftly to ensure good user experience. 
 Our technologies for flight ticket searches include a search engine and personalized recommendation system. These technologies can support hundreds of millions of queries per day. The technology currently has covered departure or arrival cities worldwide and accommodates various languages. We have also built intelligent tools and machine learning technologies