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  • The Avengers

    Almer S. Tigelaar 11 / 05 / 2012

    Marvel teased us with the release of this film near the end of various previously released super hero flicks like Captain America and Iron Man 2. This would be the movie that unites all the super heroes from the Marvel universe. Well actually, only those that had not been previously licensed to other studios. Hence, you will not find characters from X-Men, Spiderman, or the Fantastic Four in this movie. Director Joss Whedon brings back fond memories of creative television series like Firefly and Dollhouse, but what does he make of a 220 million blockbuster production?

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  • Hugo

    Almer S. Tigelaar 06 / 03 / 2012

    Hugo is based on a relatively recently released (2007) award winning book by Brian Selznick. It is not surprising that the film rights to the books were quickly sold, and certainly not by the least of directors either: Martin Scorsese. He has a career spanning decades and has directed a string of movies in recent years which I liked, among which are Shutter Island, The Departed and Gangs of New York. However, those were admittedly all in different, less family friendly, genres. So, I went to Hugo hoping to be pleasantly surprised.

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  • How long would it take to read Wikipedia?

    Almer S. Tigelaar 21 / 02 / 2012

    Wikipedia has become the de facto encyclopedia on the Internet. A traditional encyclopedia spans many textbook volumes which would take any normal person ages to read. Few people would likely engage in such an endeavor. However, since Wikipedia is readily accessible: should you take up the challenge?

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Almer S. Tigelaar » Other Works

Query-Based Sampling using Only Snippets

Almer S. Tigelaar 02 / 12 / 2009, 17:00

Query-Based Sampling using Only Snippets
Tigelaar, A. S. & Hiemstra, D.
Technical Report TR-CTIT-09-42 (2009), Centre for Telematics and Information Technology, University of Twente, Enschede, The Netherlands, ISSN 1381-3625.

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Abstract
Query-based sampling is a popular approach to model the content of an uncooperative server. It works by sending queries to the server and downloading the returned documents in the search results in full. This sample of documents then represents the server’s content. We present an approach that uses the document snippets as samples instead of downloading entire documents. This yields more stable results at the same amount of bandwidth usage as the full document approach. Additionally, we show that using snippets does not necessarily incur more latency, but can actually save time.

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