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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mirzal, A. |
| Copyright Year | 2009 |
| Abstract | We describe a simple, functioning web search engine for indexing and searching online documents using python programming language. Python was chosen because it is an elegant language with simple syntax, is easy to learn and debug, and supports main operating systems almost evenly. The remarkable characteristics of this program are an adjustable search function that allows users to rank documents with several combinations of score functions and the focus on anchor text analysis as we provide four additional schemes to calculate scores based on anchor text. We also provide an additional ranking algorithm based on link addition process in network motivated by PageRank and HITS as an experimental tool. This algorithm is the original contribution of this paper. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 418447 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424435692 |
| DOI | 10.1109/CISIS.2009.12 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-16 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Text analysis search engine Crawlers Open source software python programming language Operating systems anchor text analysis Neural networks Web pages Search engines Books Web search Robots ranking algorithm |
| Content Type | Text |
| Resource Type | Article |
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