Name
Abstract | ||
|---|---|---|
With the rapid growth of the small screen audience, the need for less cumbersome methods of browsing information on the Internet is growing too. Small screen devices provide portability in accessing huge information space on the Internet. It is unattainable to load and visualize large documents on hand held devices. Our objective is ultimately to provide mobile Internet users with a useful tool for web access. The paper proposes a model for adaptation of Web content and summarization and classification of text documents in specified categories. This paper describes the text classification and summarization based on user behavior and preferences. Experiments have been carried out on text database of 500 files and results are found to be quite satisfactory. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1378063.1378124 | Mobility Conference |
Keywords | Field | DocType |
small screen audience,mobile internet user,huge information space,text document,text classification,mobile device,cumbersome method,small screen device,web content,browsing information,text database,web content adaptation classification,web browsing,classification,bayesian classifier,web server,web accessibility,summarization | Automatic summarization,Multi-document summarization,World Wide Web,Information retrieval,Computer science,Mobile device,Software portability,Web navigation,Web content,The Internet,Web server | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. V. Sai Teja | 1 | 0 | 0.34 |
| T. H. V. Reddy | 2 | 0 | 0.34 |
| P. E. Rohit | 3 | 0 | 0.34 |
| Prashanth N | 4 | 0 | 0.34 |
| S. Mittal | 5 | 0 | 0.34 |
| S. Tapaswi | 6 | 18 | 2.05 |