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Работа № 111642
Наименование:
Реферат IS IT GOOD THAT THE RECOMMENDATION SYSTEM SPY ON ME?
Информация:
Тип работы: Реферат.
Предмет: Ин. языки.
Добавлен: 06.03.2018.
Год: 2014.
Страниц: 3 в pdf.
Уникальность по antiplagiat.ru: < 30%
Описание (план):
RESEARCH PAPER Topic: IS IT GOOD THAT THE RECOMMENDATION SYSTEM SPY ON ME? Student: 1. INTRODUCTION Recommender systems are necessary for sites such as YouTube, Amazon, Netflix. As Jeff Ullman says in his Mining of Massive Datasets, recommendation system is an extensive class of Web applications that involve predicting user responses to options. It uses two different technologies: · Content-based systems examine properties of the items recommended: for example, in Netflix if user watches many horror films, recommended films will be horrors. · Collaborative filtering systems recommend items due to similarity measures between users and/or items. The items recommended to a user are those preferred by similar users. We should admit that recommendation system really helps users to find needed items without searching it. Thus, user can spend more time on the site if he finds more and more interesting, for example, videos on YouTube. Thereby, sites and users have mutual benefit: “On one hand, they help users filter through enormous numbers of available items, and focus on the few ones that match their preferences; on the other hand, recommender systems help enterprises increase their sales.”(TANGENT: A Novel, “Surprise-me”, Recommendation Algorithm, Kensuke Onuma, Hanghang Tong). All this seems so wonderful, but how exactly recommendation system recommends us items? Certainly, they collect the information about what we watch, what we search and use the information. This fact may seem impermissible, but many sites do it, and their work depends on it. 2. WHY RECOMMENDATION SYSTEMS SPY ON US? Sites such as YouTube, Netflix or Amazon collect the information about their users according to their activity on the site. Usually it is implemented better with authorized users, as search history and/or history of watched items can be recorded and linked to the user. Sites recommend items using special techniques to increase its usefulness, effectiveness and sales (Amazon, Netflix). They earn money on it. YouTube uses collected information not only to recommend videos, but also to show ads. For example, if you watched some videos about Japanese cosmetics or Japanese make up tutorials it may give you some advertisement linked to Japanese cosmetics in the field of recommended videos. We all know that one big web system spies on us. It is Google. It collects the information about what websites we visit, what information we search. Google does it, again, to show us the ads that are connected to our searches. Therewith, some people say that Google sends collected information to government. Besides collecting information about us, some websites use our cookies files, where all visited websites listed. That is why we can see on some websites ads from other websites. For example, if you visit lamoda.kz you may see then advertisement of Lamoda on other website such as vk.com. The same situation with other internet shops (wildberries, lensmark, besmart, etc). Also, cookies are used by Facebook to show ads. Thus, we can say that recommendation system spy on us to filter items for us, or to show probably interesting ads. 3. PEOPLE DO NOT LIKE THE FACT THAT SOMEONE SPIES ON THEM If somebody tells you that he/she spies on you and then offers you some things according to the collected information about, you will be shocked. However, today in the internet we stopped paying attention to it. Some people say that it is okay and very helpful, some people even do not know about it, but other people are against such shadowing for various reasons. One reason is that people do not like that websites collect all information about what they watch and/or search, because someone can capture it and use in his/her aim, or this information may become public in a few years. Furthermore, some information may be extremely private and nobody should know about it, as it may inflict harm. The second reason is that people do not like the advertisements, despite it can be connected to things in which they are interested. As you know, ads are annoying and distracting. Moreover, if you have just started to be interested in something, ads connected to it may badly affect the hobby and you will lose interest to it. Another reason is that people do not like things that recommendation system recommends them. Some users of YouTube say that they do not use recommended videos, as these videos are not that they want watch and it is better to search needed video. Also, there is some problem when you watched some specific videos like “моя ужасная история” and you no longer want to watch it, but, anyway, YouTube recommends it to you. The same situation with ads on different sites: once, you tried to search some strange information, that you do not want to see again, but your browser or Google remembers it and gives you ads connected to it. So, such an intrusive service may be frightening. 4. CONCLUSION In conclusion I want to say that we cannot claim that it is wrong, or it is good that recommendation systems spy on us, because like all other things, it has its positive and negative sides. Of course, such systems help people find needed things, saving time, not searching it by themselves, and it helps not only people, but websites as well. Thus, websites can enhance their popularity, number of visitors and usefulness. Moreover, now we live in Internet era, so recommendation systems have become an integral part of many websites and e-commerce. Even, having a lot of good features recommendation systems have bad sides, as these systems are not so ideal yet, and as they spy on people and, in some sense, it violates people’s privacy. 5. REFERENCES 1. Jeffrey D. Ullman, “Mining of Massive Datasets”, ch. 9 – ~ullman/mmds/ch9.pdf 2. Kensuke Onuma, Hanghang Tong and Christos Faloutsos, “TANGENT: A Novel, “Surprise-me”, Recommendation Algorithm” – download/attachments/1 6384416/p657.pdf? version=1&modificati nDate=1257381165000 3. 2011/03/are-amazon-spy ng-on-me.html 4. watch?v=1y9cr-Xf33M 5. jeto-interesno/tak-za hem-zhe-google-sledit za-nami.h ml
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