Artificial Intelligence Lab, Department of MIS, University of Arizona / Spiders are the software agents that search
engines use to collect content for their databases.
We investigated algorithms to improve the performance
of vertical search engine spiders. The
investigation addressed three approaches: a
breadth-first graph-traversal algorithm with no
heuristics to refine the search process, a best-first
traversal algorithm that used a hyperlink-analysis
heuristic, and a spreading-activation algorithm
based on modeling the Web as a neural network.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105876 |
| Date | 05 1900 |
| Creators | Chau, Michael, Chen, Hsinchun |
| Publisher | IEEE |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Journal Article (Paginated) |
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