Ctrip Releases a Vertical Big Model of the Tourism Industry

Tech 2023-07-17 16:58:17 Source: Network

Global Network Technology Reporter Wang NanOn July 17th, Ctrip Group released its first vertical model of the tourism industry, "Ctrip Quest". We hope that users can obtain reliable content and reliable recommendations from the tourism industry, including products from Ctrip, "said Liang Jianzhang, Chairman of the Ctrip Group's Board of Directors

Global Network Technology Reporter Wang NanOn July 17th, Ctrip Group released its first vertical model of the tourism industry, "Ctrip Quest". We hope that users can obtain reliable content and reliable recommendations from the tourism industry, including products from Ctrip, "said Liang Jianzhang, Chairman of the Ctrip Group's Board of Directors. In the context of an intelligent society, the tourism industry, as a" spiritual demand industry that is difficult to automate, "will have an increasing demand with the overall improvement of social prosperity, and its proportion in the economy will also expand. Ctrip will actively embrace an intelligent society, adhere to focusing on the global tourism industry, and use AI to provide intelligent assistant services before, during, and after travel, "said Liang Jianzhang.

The opportunity for a vertical large-scale model lies in the fact that AIGC has encountered a very big challenge - the answer is not so reliable. "Liang Jianzhang believes that even if the planning saves half an hour, there is a 5% chance that the recommended hotel or itinerary results may be wrong, which is not worth the loss. As a large vertical model, "Ctrip Quest" screened 20 billion high-quality unstructured tourism data, combined with the existing accurate structural real-time data of Ctrip, as well as the robot and search algorithm of Ctrip's historical training, and carried out the training of self-developed vertical model.

At the same time, we have invested a huge amount of manpower in generating and verifying universal travel response content. Only through this series of efforts can we provide recommendations that are more reliable than the basic big model. This is also consistent with Ctrip's mission - to pursue a perfect journey and build a better world together, "said Liang Jianzhang.

Liang Jianzhang introduced that in order to solve the problem of general AIGC and create a "reliable answer library" for the tourism industry, Ctrip has invested heavily in manually verifying common theme recommendations for hotels, attractions, and itineraries based on intelligent algorithms, forming the "Ctrip word-of-mouth list". However, due to the close relationship between travel and hot trends, users also hope to avoid price peaks, resulting in the birth of the "Ctrip Hot List" and "Ctrip Special Price List". This list has also become a representative content product with Ctrip characteristics.

The average data processing capacity of each ranking is 5 million, which has been verified by employees from more than 30 countries and regions worldwide, making it one in a hundred for users, "said Liang Jianzhang.

Sun Bo, Executive Vice President and Chief Marketing Officer of Ctrip Group, released this list on site. The list covers over 3000 destinations worldwide and 45 commonly used themes. The recommended dimensions include destinations, itineraries, hotels, air tickets, attractions, etc., with a selection rate of one in a hundred. 'Reliable recommendation' will become Ctrip's third selling point, after 'reliable service and reliable price', committed to building.

It is understood that the first Ctrip hotel word-of-mouth list to be launched has reached 70% penetration rate, 60% deep browsing rate, and 82% recommendation rate. More than 70% of Ctrip users have clicked on this list, of which 60% have been planted with at least one item on the list, while more than 80% of users who have seen the list will recommend it to friends. The newly launched Ctrip Journey word-of-mouth ranking has reduced the decision-making time for users on a single trip from 9 hours to 6.6 hours, an increase of 27%. The destination word-of-mouth list and attraction word-of-mouth list are expected to cover over 30% of the pre travel inspiration needs.

Another important application of AI technology is in travel service scenarios, "said Sun Jie, CEO of Ctrip Group, Equivalent to liberating over 1000 customer service personnel per day.

With the improvement of basic customer service efficiency brought about by AI technology, Ctrip customer service has also begun to try to transform pre-sales services. We are delighted to have Ctrip customer service do more innovative work, "Sun Jie announced on site that the pre-sales live broadcast room of Ctrip customer service was officially launched, and the first batch of Ctrip customer service anchors appeared.

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