Abstract
There are several difficulties in integrating traditional classification approaches in a search engine. This paper presents an Entity-Based Web Page Classification Algorithm, which can be embedded in search engine easily. In the algorithm, we build up an Entity System to classify web pages immediately before indexing jobs. It is an assistant system used in text feature selection and can be updated incrementally. Experimental results show its efficiency, compared to the traditional ones and has a good performance. © 2008 Springer Berlin Heidelberg.
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CITATION STYLE
Liu, Y., Liu, M., Xiang, L., & Yang, Q. (2008). Entity-based classification of Web page in search engine. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5362 LNCS, pp. 410–411). Springer Verlag. https://doi.org/10.1007/978-3-540-89533-6_59
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