A machine learning approach for displaying query results in search engines
15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013, York, İngiltere, 27 - 29 Ağustos 2013, cilt.8047 LNCS, ss.180-187, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 8047 LNCS
- Doi Numarası: 10.1007/978-3-642-40261-6_21
- Basıldığı Şehir: York
- Basıldığı Ülke: İngiltere
- Sayfa Sayıları: ss.180-187
- Boğaziçi Üniversitesi Adresli: Evet
Özet
In this paper, we propose an approach that displays the results of a search engine query in a more effective way. Each web page retrieved by the search engine is subjected to a summarization process and the important content is extracted. The system consists of four stages. First, the hierarchical structures of documents are extracted. Then the lexical chains in documents are identified to build coherent summaries. The document structures and lexical chains are used to learn a summarization model by the next component. Finally, the summaries are formed and displayed to the user. Experiments on two datasets showed that the method significantly outperforms traditional search engines. © 2013 Springer-Verlag.