Traditional Culture Encyclopedia - Hotel accommodation - Where does the deposit-deposit spread of hotel reservation respond?

Where does the deposit-deposit spread of hotel reservation respond?

On June 2, 2023, 65438+, Qunar.com issued a "Statement Letter" for the deposit and price difference of hotel reservations. Details are as follows:

On June 2023, 65438+1 October1released a question about the big price gap in Qunar.com. The video content is false information, so it is required to delete the video and stop the infringement.

After verification, the membership levels of the three users in the video are quite different, which has nothing to do with mobile phones. The higher the membership level, the lower the price. The platform recommends users to log in and enjoy more benefits. There is no relevant evidence in the video to prove that Qunar.com has "big data killing" and other related illegal acts.

In fact, Qunar.com resolutely put an end to earning any price difference, and maliciously misled and spread false information about Qunar.com in the video. Our company thinks that the Weibo content seriously infringes our company's reputation. Therefore, our company applied to delete the relevant Weibo content and disseminate information, so as to avoid the continuation and expansion of the infringement.

"Big data killing" generally has the following ways:

First, according to the geographical location, if there are few shopping malls or shops near users, the prices of goods displayed to users will increase. If there are no such goods or services nearby, show users higher-priced goods and services; Show users higher prices of goods and services near high-end communities.

Second, according to the user's consumption records, if the user belongs to the group that can afford money, it will also increase the price for the user.

Third, according to the vocabulary, time and frequency of users' search, judge whether users are "browsing casually" or "careless" or even "anxious", so as to adjust the quotation for users.

Fourth, display different prices to users according to different mobile phones. For example, the price you see with an Apple phone may be higher than other Android phones.

Fifth, for new users, merchants may give new users higher coupons or experience coupons, and eventually the price of goods or services purchased by new users may be lower than that of old users.