Learning System of Web Navigation Patterns through Hypertext Probabilistic Grammars
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Redalyc
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Corporación Universitaria de la Costa
2015
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| _version_ | 1876453183201476608 |
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| author | Augusto Cortez Vasquez |
| author_facet | Augusto Cortez Vasquez |
| contents | Learning System of Web Navigation Patterns through Hypertext Probabilistic Grammars Augusto Cortez Vasquez Ingeniería Hypertext Navigation Patterns Information Retrieval Probabilistic Grammars Pattern Learning Hypertext Probabilistic Grammar One issue of real interest in the area of web data mining is to capture users’ activities during connection and extract behavior patterns that help define their preferences in order to improve the design of future pages adapting websites interfaces to individual users. This research is intended to provide, first of all, a presentation of the methodological foundations of the use of probabilistic languages to identify relevant or most visited websites. Secondly, the web sessions are represented by graphs and probabilistic context-free grammars so that the sessions that have the highest probabilities are considered the most visited and most preferred, therefore, the most important in relation to a particular topic. It aims to develop a tool for processing web sessions obtained from a log server represented by probabilistic context-free grammars. 2015 artículo científico 0122-6517 https://www.redalyc.org/articulo.oa?id=497779324007 en http://www.redalyc.org/revista.oa?id=4977 INGE CUC application/pdf Corporación Universitaria de la Costa INGE CUC (Colombia) Num.1 Vol.11 |
| format | Artículo científico |
| id | redalyc_497779324007 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Corporación Universitaria de la Costa |
| spellingShingle | Learning System of Web Navigation Patterns through Hypertext Probabilistic Grammars Augusto Cortez Vasquez Ingeniería Hypertext Navigation Patterns Information Retrieval Probabilistic Grammars Pattern Learning Hypertext Probabilistic Grammar Learning System of Web Navigation Patterns through Hypertext Probabilistic Grammars Augusto Cortez Vasquez Ingeniería Hypertext Navigation Patterns Information Retrieval Probabilistic Grammars Pattern Learning Hypertext Probabilistic Grammar One issue of real interest in the area of web data mining is to capture users’ activities during connection and extract behavior patterns that help define their preferences in order to improve the design of future pages adapting websites interfaces to individual users. This research is intended to provide, first of all, a presentation of the methodological foundations of the use of probabilistic languages to identify relevant or most visited websites. Secondly, the web sessions are represented by graphs and probabilistic context-free grammars so that the sessions that have the highest probabilities are considered the most visited and most preferred, therefore, the most important in relation to a particular topic. It aims to develop a tool for processing web sessions obtained from a log server represented by probabilistic context-free grammars. 2015 artículo científico 0122-6517 https://www.redalyc.org/articulo.oa?id=497779324007 en http://www.redalyc.org/revista.oa?id=4977 INGE CUC application/pdf Corporación Universitaria de la Costa INGE CUC (Colombia) Num.1 Vol.11 |
| title | Learning System of Web Navigation Patterns through Hypertext Probabilistic Grammars |
| topic | Ingeniería Hypertext Navigation Patterns Information Retrieval Probabilistic Grammars Pattern Learning Hypertext Probabilistic Grammar |
| url | https://www.redalyc.org/articulo.oa?id=497779324007 |