1In August, 995, Henry Lieberman of Massachusetts Institute of Technology proposed letizia; Personalized navigation agent, at the International Joint Conference on Artificial Intelligence (IJCAI).
1996, Yahoo launched its personalized portal MyYahoo;
1997，at & amp； T Lab proposed a personalized recommendation system PHOAKS and a recommendation website based on collaborative filtering.
From 65438 to 0999, Tanja Joerding of Dresden University of Technology in Germany realized TELLIM, a personalized e-commerce prototype system.
In 2000, Kurt and others of NEC Institute added personalized recommendation function to the search engine CiteSeer.
200 1 Gediminas Adoavicius and Alexander Tuzhilin of new york University have realized the user modeling system of personalized e-commerce website1:1pro;
In 200 1 year, IBM added personalization function to its e-commerce platform Websphere, so that merchants can develop personalized e-commerce websites.
In 2003, Google pioneered the profit model of AdWords, providing related advertisements through keywords searched by users. AdWords has a high click-through rate and is the main source of Google's advertising revenue. Since March 2007, Google has added personalization elements to AdWords. Not only pay attention to the keywords of a single search, but also record and analyze the user's search history for a period of time, so as to understand the user's preferences and needs and present the relevant advertising content more accurately.
In 2007, Yahoo launched the SmartAds advertising program. Yahoo has mastered a huge amount of user information, such as gender, age, income level, geographical location and lifestyle. Together with the records of users' search and browsing behaviors, Yahoo can present personalized banner advertisements for users.
In 2009, Overstock (a famous American online retailer) began to use the personalized banner advertising scheme made by ChoiceStream Company to place product advertisements on some high-traffic websites. Overstock achieved amazing results in the early days of running this personalized banner advertisement. The company said: "The click-through rate of the advertisement has doubled than before, and the subsequent sales growth is as high as 20% to 30%."
In July 2009, Beijing Dianfen Information Technology Co., Ltd., the first recommendation system research team in China, was established. The team focuses on recommendation engine technology and solutions, and gathers more than 100 well-known e-commerce websites and information websites at home and abroad on its recommendation engine technology and data platform, and provides real-time and intelligent product recommendation to tens of millions of consumers every day through these B2C websites.
20 1 1 September, at the Baidu World Congress 2011,Li Yanhong listed recommendation engines, cloud computing and search engines as important strategic planning and development directions for the future Internet. Baidu's new homepage will gradually realize personalization and intelligently recommend websites and commonly used apps that users like.