Personalized hotel recommendation system and method in OTA website

Abstract

The invention discloses a personalized hotel recommendation system and a method in an OTA website. The system comprises a data acquisition module, an initial selection module, a real-time preference recommendation module and a real-time information filter module, wherein the data acquisition module is used for acquiring user information and target hotel information according to operation at a client by a user; the initial selection module is used for acquiring a static dimension and a real-time dimension of the target hotel and a nearby hotel alternative pool of the target hotel from a database according to the user information and the target hotel information and acquiring the static dimension and the real-time dimension of the nearby hotel alternative pool; the real-time preference recommendation module is used for using a personalized nearby hotel recommendation algorithm for processing according to various data acquired by the initial selection module to obtain the score of each candidate hotel in the nearby hotel alternative pool and carrying out descending sort; and the real-time information filter module is used for filtering candidate hotels which can not be filtered and recommending the rest N candidate hotels at top ranking to the user. Thus, personalized hotel recommendation can be provided for the client.

Description

technical field [0001] The invention relates to a hotel recommendation system and method, in particular to a personalized hotel recommendation system and method in an OTA website. Background technique [0002] At present, with the rapid development of the Internet and big data technology, recommendation systems have been more and more applied to all walks of life, especially the Internet industry. More mature ones include Amazon's personalized product recommendation system and Netease's personalized music recommendation system. With the continuous development of network and mobile Internet technology, more and more consumers have begun to choose to view hotel information and order hotels through OTA websites (online travel websites) and mobile APPs (applications). It becomes an essential requirement when recommending hotels that meet their preferences. [0003] Due to the particularity of hotel products compared with other e-commerce products, the problem of personalized r...

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is to provide a personalized hotel recommendation system and method in the OTA website in order to overcome the defect that the traditional recommendation algorithm in the prior art cannot handle the hotel recommendation in the OTA website

Images