Developing Intelligent Search Engines
- Type
- Paper
- Tags
- search engine
- Authors
- Isabel Drost
- Event
- Chaos Communication Congress 22th (22C3) 2005
- Indexed on
- Mar 27, 2013
- URL
- http://events.ccc.de/congress/2005/fahrplan/attachments/532-Paper_DevelopingIntelligentSearchEngines.pdf
- File name
- 532-Paper_DevelopingIntelligentSearchEngines.pdf
- File size
- 119.1 KB
- MD5
- e00e3aa45b51631a22220a033bf69a78
- SHA1
- fdbedd8c0076ad675d6a2c002d97b6d65d8f64b6
The presentation will give a short overview of the architecture of search engines and how machine learning can help improving search engines. In addition some projects you can take part in will be briefly introduced. Developers of search engines today do not only face technical problems such as designing an efficient crawler or distributing search requests among servers. Search has become a problem of identifying reliable information in an adversarial environment. Since the web is used for purposes as diverse as trade, communication, and advertisement search engines need to be able to distinguish different types of web pages. In this paper we describe some common properties of the WWW and social networks. We show one possibility of exploiting these properties for classifying web pages.
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