939 resultados para Cohen Papers Forum


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This photo of the Lithographic Technical Forum shows the booth of the Lithographic Technical Foundation, Inc. The foundation was founded in 1924 to foster research and education in the lithography industry. The slogan "Research to improve lithography . . . Education to improve craft skill" can be seen at the very top of the booth. A group of people are depicted looking at the range of educational material about lithography on display. Black and white photograph.

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Several people are looking at sample prints in this photograph of the Lithographic Technical Forum. In the background the booth for the Lithographic Technical Foundation, Inc. can be seen. Black and white photograph.

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Three people are posed in front of the Lithographic Technical Foundation, Inc. booth at the Lithographic Technical Forum. The Lithographic Technical Foundation was founded in 1924 as an industry organization to promote research and education. In the 1960s the foundation changed its name to the Graphic Arts Technical Foundation and in the late 1990s merged with Printing Industry America. The organization ha a number of educational materials about lithography on display. Black and white photograph.

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Two men are pictured on either side of an LTF Sensitivity Guide at a booth at the Lithographic Technical Forum. Black and white photograph.

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Several people are shown posing around a cardboard cutout at the Lithographic Technical Forum. To the right others can be seen enjoying refreshments. Black and white photograph.

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A presentation at the Lithographic Technical Forum is being filmed. Notice the RCA Victor Television camera being used. Black and white photograph.

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Two men are pictured standing outside the entrance to the Lithographic Technical Forum. It is unclear whether or not the forum was held at the New York Trade School. Black and white photograph.

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In this photo two men are shown giving a presentation at the Lithographic Technical Forum. Black and white photograph.

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Inside this Issue: WPADirector's ForumArchivesM. L King LibraryElectronic Info

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Trata do mercado de capitais no Brasil abordando as características das emissões locais de "Commercial Papers", tendo como objetivos a descrição do processo atual de originação, estruturação e distribuição destes valores mobiliários, como também, a identificação dos motivos pelos quais este mercado não se desenvolve no Brasil.

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The number of research papers available today is growing at a staggering rate, generating a huge amount of information that people cannot keep up with. According to a tendency indicated by the United States’ National Science Foundation, more than 10 million new papers will be published in the next 20 years. Because most of these papers will be available on the Web, this research focus on exploring issues on recommending research papers to users, in order to directly lead users to papers of their interest. Recommender systems are used to recommend items to users among a huge stream of available items, according to users’ interests. This research focuses on the two most prevalent techniques to date, namely Content-Based Filtering and Collaborative Filtering. The first explores the text of the paper itself, recommending items similar in content to the ones the user has rated in the past. The second explores the citation web existing among papers. As these two techniques have complementary advantages, we explored hybrid approaches to recommending research papers. We created standalone and hybrid versions of algorithms and evaluated them through both offline experiments on a database of 102,295 papers, and an online experiment with 110 users. Our results show that the two techniques can be successfully combined to recommend papers. The coverage is also increased at the level of 100% in the hybrid algorithms. In addition, we found that different algorithms are more suitable for recommending different kinds of papers. Finally, we verified that users’ research experience influences the way users perceive recommendations. In parallel, we found that there are no significant differences in recommending papers for users from different countries. However, our results showed that users’ interacting with a research paper Recommender Systems are much happier when the interface is presented in the user’s native language, regardless the language that the papers are written. Therefore, an interface should be tailored to the user’s mother language.