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Travel recommendation method and device

A recommendation method and product technology, applied in the Internet field, can solve problems such as poor credibility and single consideration factors, and achieve the effect of improving the credibility of recommendations

Pending Publication Date: 2021-03-16
南京意博软件科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This way considers the factors relatively single, and the credibility is poor.

Method used

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  • Travel recommendation method and device
  • Travel recommendation method and device
  • Travel recommendation method and device

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0120] Assume that there is user ID01, and the historical ticket orders of user ID02 are shown in Table 2 below. User ID01 also browsed the tickets of the same route and effective time at different times before booking the tickets in Table 2, as shown in Table 3 below.

[0121] Table 2

[0122]

[0123] table 3

[0124]

[0125]

[0126] Combining the booking time in Table 2 and the query time in Table 3 above, it can be seen that user ID01 wants to book a flight from Haikou to Beijing on May 29 at 10:17 on May 29. The booking was approaching departure, when the user inquired at that time, he could only see the two cabins of the flight whose query ID was C03, and the user ID01 finally booked the Y cabin of flight HU7281, with a face price of 2,000 yuan.

[0127] For the case that the effective date is: May 29, and the route is from Haikou to Beijing, if the user makes a reservation one day in advance (for example, at 9:00 on May 28), he can see four flight classes w...

example 2

[0132] Assume that there are historical hotel orders for user ID03 as shown in Table 4 below. User ID03 also browsed hotels in the same area and effective time at different times before booking the hotels in Table 4, as shown in Table 5 below.

[0133] Table 4

[0134]

[0135] table 5

[0136]

[0137]

[0138] Combining the booking time in Table 4 and the query time in Table 5 above, it can be seen that user ID03 wants to book a hotel in Beijing on June 1 at 10:00 on May 29. As shown in Table 5, when the user inquired at that time, he could only see two hotel room types whose query ID was C03. Finally, I booked a business big bed room at Beijing Zhongcheng Tiantan Holiday Hotel, with an average room rate of 500 yuan for 2 nights.

[0139] For the situation that the effective date is: June 1, and the hotel is located in Beijing, if the user makes a reservation one day in advance (for example, at 9:00 on May 28), he can see the query ID of C002. hotel rooms. Assu...

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Abstract

The invention relates to the technical field of Internet, and discloses a travel recommendation method and device, so as to determine a travel strategy of a user by combining behavior preferences of the user to travel products and browsing records of the travel products, and improve recommendation credibility. The method comprises the steps of obtaining a portrait label of a target user, wherein the portrait label is used for indicating behavior preferences of the user for travel products; acquiring record information generated by browsing the at least one travel product by the target user, wherein the record information comprises product information of the at least one travel product; and determining a travel strategy of the target user according to the portrait label and the product information of the at least one travel product.

Description

technical field [0001] The embodiments of the present application relate to the field of Internet technologies, and in particular, to a travel recommendation method and device. Background technique [0002] With the development of Internet technology, people are gradually getting used to booking air tickets, hotels and other products and services involved in travel on online platforms. At present, the prices of air tickets, hotels and other products booked at different times are not the same, and when it is more favorable has become a concern of people. [0003] In the prior art, the preferred booking time of relevant airlines or the preferred booking time of related hotels is usually determined by relying on the average daily booking price of different booking dates. For example, for the route from Beijing to Shanghai on the 21st of last month, the average booking price of the air ticket on the 20th of last month is 700, and the average booking price of the ticket on the 1...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9537G06Q10/02
CPCG06F16/9535G06F16/9537G06Q10/02
Inventor 刘纪方石路路孟平史超
Owner 南京意博软件科技有限公司
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