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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 » Research

Query-Load Balancing by Caching Search Results in Peer-to-Peer Information Retrieval Networks

Almer S. Tigelaar 04 / 02 / 2011, 12:15

Query-Load Balancing by Caching Search Results in Peer-to-Peer Information Retrieval Networks
Tigelaar, A. S. & Hiemstra, D.
In Proceedings of DIR 2011, Amsterdam, The Netherlands (pp. 28-31).

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Abstract
For peer-to-peer web search engines it is important to keep the delay between receiving a query and providing search results within an acceptable range for the end user. How to achieve this remains an open challenge. One way to reduce delays is by caching search results for queries and allowing peers to access each others cache. In this paper we explore the limitations of search result caching in large-scale peer-to-peer information retrieval networks by simulating such networks with increasing levels of realism. We find that cache hit ratios of at least thirty-three percent are attainable.

Presented at Dutch-Belgian Information Retrieval 2011 Workshop, February 4th 2011, Amsterdam, The Netherlands.

University of Amsterdam

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