Sep Kamvar | |
---|---|
Nationality | American |
Education | Princeton University (AB) Stanford University (PhD) |
Occupation | Computer Scientist |
Sepandar David Kamvar, also known as Sep Kamvar, is a computer scientist, artist, author and entrepreneur. [1] [2] [3] [4] He is a cofounder of Mosaic, an AI-powered construction company, [5] [6] Celo, a cryptocurrency protocol, [7] [8] and Wildflower Schools, a decentralized network of Montessori microschools. [9] [10] He was previously a Professor of Media Arts and Sciences and LG Career Development Chair at MIT, and director of the Social Computing group at the MIT Media Lab. [11] [12] He left MIT in 2016.
Kamvar's main contributions to computer science have been at the intersection of computer science and mathematics, particularly in the fields of personalized search, peer-to-peer networks, social search and data mining. [13] [14]
As a graduate student at Stanford University, Kamvar developed tools that made it possible to compute personalized PageRank. [15] He also developed the first efficient algorithm for adding personal context to the internet search process. [13] [15] [16] [17] [18]
In 2003, Kamvar co-founded Kaltix, a personalized search engine company. [11] [12] [19] He was the CEO of Kaltix until Google acquired the company in September 2003. [20] [21] [22] After the acquisition of Kaltix, Kamvar joined Google, where he led the personalization efforts between 2003 and 2007. [23] [24]
Kamvar's research and work in peer-to-peer networks focused on the social mechanisms that reward cooperation and punish adversarial behavior. [13] [25] His 2003 paper, EigenTrust, is one of the most highly cited papers in the field. [13] [25] [26]
Dog is a high-level programming language created by Kamvar and Salman Ahmad at MIT Media Lab. [27]
It was announced in spring 2012, and stems from the frustration faced by Kamvar with existing languages, and felt they made it needlessly difficult to write code that handled social interactions. [28] It is designed to facilitate easier creation of social computing applications, and is designed to facilitate programming in a natural language and allow newcomers the chance to learn programming more easily. [29]
Kamvar is an advocate for using the web as a medium for artistic expression. [14] He believes the ability to constantly change and be viewed by millions of people simultaneously makes the web an opportune medium for art.
Kamvar created We Feel Fine with Jonathan Harris in 2005. [30] Debuting in 2006, it is an interactive experience using more than 12 million human feelings collected over three years by scouring blog posts every 10 minutes for occurrences of the phrases "I feel" and "I am feeling". [2] [31] Since its debut, We Feel Fine has been exhibited all over the world, with Fast Company naming the project one of the "Decade's 14 Biggest Design Moments." [2] [32]
In 2009, Kamvar and Harris took the findings from the four years since We Feel Fine was launched in 2006 and turned them into a book called "We Feel Fine: An Almanac of Human Emotion". [33] [34] [35]
Kamvar created "I Want You To Want Me" with Jonathan Harris in 2007. [36] It is an interactive installation that searches online dating sites for certain phrases and displays them in blue and pink balloons that float and bump into each other. [3] [37] [38] The project was commissioned by the New York Museum of Modern Art (MoMA) for their "Design and the Elastic Mind" exhibition. [37] [39] It was installed on Valentine's Day, February 14, 2008. [37]
Kamvar earned a bachelor's degree in chemistry from Princeton University in 1999. He received his Ph.D. in scientific computing and computational mathematics at Stanford University in 2004 under the guidance of Christopher Manning. [11] [13] [40]
Terry Allen Winograd is an American professor of computer science at Stanford University, and co-director of the Stanford Human–Computer Interaction Group. He is known within the philosophy of mind and artificial intelligence fields for his work on natural language using the SHRDLU program.
Social computing is an area of computer science that is concerned with the intersection of social behavior and computational systems. It is based on creating or recreating social conventions and social contexts through the use of software and technology. Thus, blogs, email, instant messaging, social network services, wikis, social bookmarking and other instances of what is often called social software illustrate ideas from social computing.
Vaughan Pratt is a Professor Emeritus at Stanford University, who was an early pioneer in the field of computer science. Since 1969, Pratt has made several contributions to foundational areas such as search algorithms, sorting algorithms, and primality testing. More recently, his research has focused on formal modeling of concurrent systems and Chu spaces.
Personalization consists of tailoring a service or product to accommodate specific individuals, sometimes tied to groups or segments of individuals. Personalization requires collecting data on individuals, including web browsing history, web cookies, and location. Companies and organizations use personalization to improve customer satisfaction, digital sales conversion, marketing results, branding, and improved website metrics as well as for advertising. Personalization is a key element in social media and recommender systems. Personalization affects every sector of society—work, leisure, and citizenship.
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Mark S. Miller is an American computer scientist. He is known for his work as one of the participants in the 1979 hypertext project known as Project Xanadu; for inventing Miller columns; and the open-source coordinator of the E programming language. He also designed the Caja compiler. Miller is a Senior Research Fellow at the Foresight Institute.
Google Personalized Search is a personalized search feature of Google Search, introduced in 2004. All searches on Google Search are associated with a browser cookie record. When a user performs a search, the search results are not only based on the relevance of each web page to the search term, but also on which websites the user visited through previous search results. This provides a more personalized experience that can increase the relevance of the search results for the particular user. Such filtering may also have side effects, such as the creation of a filter bubble.
EigenTrust algorithm is a reputation management algorithm for peer-to-peer networks, developed by Sep Kamvar, Mario Schlosser, and Hector Garcia-Molina. The algorithm provides each peer in the network a unique global trust value based on the peer's history of uploads and thus aims to reduce the number of inauthentic files in a P2P network. It has been cited by approximately 3853 other articles according to Google Scholar.
The following outline is provided as an overview of and topical guide to artificial intelligence:
Social search is a behavior of retrieving and searching on a social searching engine that mainly searches user-generated content such as news, videos and images related search queries on social media like Facebook, LinkedIn, Twitter, Instagram and Flickr. It is an enhanced version of web search that combines traditional algorithms. The idea behind social search is that instead of ranking search results purely based on semantic relevance between a query and the results, a social search system also takes into account social relationships between the results and the searcher. The social relationships could be in various forms. For example, in LinkedIn people search engine, the social relationships include social connections between searcher and each result, whether or not they are in the same industries, work for the same companies, belong the same social groups, and go the same schools, etc.
Alex Paul "Sandy" Pentland is an American computer scientist, the Toshiba Professor of Media Arts and Sciences at MIT, and serial entrepreneur.
Kaltix Corporation was a personalized search engine company founded at Stanford University in June 2003 by Sepandar Kamvar, Taher Haveliwala, and Glen Jeh. It was acquired by Google in September 2003.
Jonathan Jennings Harris is an American artist and computer scientist, known for his work with data visualization, interactive documentary, and ritual.
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PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page. PageRank is a way of measuring the importance of website pages. According to Google:
PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. The underlying assumption is that more important websites are likely to receive more links from other websites.
A filter bubble or ideological frame is a state of intellectual isolation that can result from personalized searches, recommendation systems, and algorithmic curation. The search results are based on information about the user, such as their location, past click-behavior, and search history. Consequently, users become separated from information that disagrees with their viewpoints, effectively isolating them in their own cultural or ideological bubbles, resulting in a limited and customized view of the world. The choices made by these algorithms are only sometimes transparent. Prime examples include Google Personalized Search results and Facebook's personalized news-stream.
We Feel Fine is an interactive website, artwork, and book created by Jonathan Harris and Sep Kamvar that searches the internet every 10 minutes for expressions of human emotion on blogs and then displays the results in several visually-rich dynamic representations. Created in 2005 and launched in 2006, We Feel Fine was turned into a book in 2009.
Jacob O. Wobbrock is a Professor in the University of Washington Information School and, by courtesy, in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. He is Director of the ACE Lab, Associate Director and founding Co-Director Emeritus of the CREATE research center, and a founding member of the DUB Group and the MHCI+D degree program.
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