Today we will not talk about Google, maybe we will only mention it, but we will not deal with it. Do you believe there is private life in Internet; The popular TripAdvisor service began offering personalized recommendations, thanks to a closer partnership with Facebook. The online travel search service has named the new Just for You feature and promises to serve customized hotel recommendations based on your preferences, search history on the site, and possible comments you've made. 
For example, when you search for hotels for a specific location, you will see a series of labels to define your general preferences, such as location, style, hotel category, price range, amenities and more.
TripAdvisor collects these details, your comments, along with all your previous searches, to deliver the best recommendations in a special "Just for You" window.
The importance of big data in the information world is known, as it is well known that large and small services record all of our Internet moves, faithfully following the path that Google has made. Analysis and management of big data is the next bet for online giants. Specifically tailored pages in search results are already ahead of us, and they may not be so much adapted to the impossibility of absolute data analysis. If you were anxious do not read below.
In a perfect world, consumers benefit from this because they are displaying ads for the products they need exactly.
However, in reality it does not happen exactly like that. Sellers appreciate your interest, and try to sell you at the highest possible price.
The systems for hotel reservations as well as for air ticket reservations use complex price adjustment systems, which take into account a lot of information from each visitor, collected through referrer tracking (referrer is the website that sends us to the page that watches), of optimizationof search engines and social network monitoring.
The most obvious application of this mechanism is hotel reservation systems and airline ticket reservations. These sites use sophisticated price adjustment systems, which take into account the many information from each visitor. They are based on dozens of factors and have systems that can completely hide some information and present others just to catch a better price.
[alert variation = ”alert-info”]For example, when you visit a booking site with your iPad, you will first see the most expensive hotels in the selected category and you will need to look for many pages until you find something cheaper. On the contrary, if you search on the same page as a Windows-running computer, you will find much cheaper prices on the first page compared to the search you made with your iPad.[/ alert]
Why The first impression is half the battle. In real life, others judge you based on your appearance and clothes first. On the Internet, the server can easily detect which part of the world you are from, which device and which operating system usesth. If you use a Mac or iPhone and live in Western Europe or the US, you probably make a lot of money and can spend a lot.
Also, these systems closely monitor the user who wants to travel, and through different options tailor the search results in real time.
Let's talk about her Nordstrom and get away from the Internet. OR Nordstrom is an American retailer. For several months, the company tested locally at one of its stores, a system that watched the customers' movements that had their devices turned on Wi-Fi. The "experiment" as mentioned above was made by 17 from its stores and when the survey was completed, the company published the results of the monitoring. The result of this publication, however, was after being shown by a Dallas television station in May, the company was forced to stop watching its customers.
Then they took the story from them New York Times, triggering a privacy talk and passive monitoring via Wi-Fi or other technologies. The system used by Nordstrom and many other companies is provided by the company Euclid Analytics and monitor the movements of individual phones accurately, even if they are not connected to the Wi-Fi monitor.
How does it work;
The technique takes advantage of the fact that the wireless networking protocol Wi-Fi is "foolproof": Wi-Fi adapters on mobile phones and laptops reveal a lot of information about these devices as they try to negotiate connections with other nearby devices. Even before a device connects to a Wi-Fi network, it constantly displays its information. Most devices send "crawl requests" that show the names of the networks that the device has previously been connected to. Requests are sent continuously to all available frequencies until a connection is made. Even on devices that are Wi-Fi is seemingly turned off, they send such requests but at a slower pace. So place Wi-Fi at a store and then start collecting these requests. In this way, you can track the movements of individual buyers, among other things. So you can see which windows are stopping, what paths are going through the store, how much time it takes to decide and many other details that can be used by commercial companies accordingly.
Using tracking through Wi-Fi tracking allows stores to track their customer moves and behaviors more accurately than possible with video, especially in busy shops. Of course, the video has the feature of facial recognition, but customers can also be identified with the Wi-Fi tracking method, since each device has a unique ID that is transmitted by the requests it sends.
Does this infamous "personal data protection" actually exist? If you think there is, you are probably wrong. You should know that the information that "sees" it light of publicity are only those that let us see.
