| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Chakrabarti, S. | mining the web [BibTeX] |
2003 | book | ||
BibTeX:
@book{Chakrabarti03,
author = {Chakrabarti, S.},
title = {mining the web},
publisher = {Morgan Kaufmann},
year = {2003}
}
|
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| Chakrabarti, S. | Data mining for hypertext: A tutorial survey [BibTeX] |
2000 | SIGKDD Explorations | article | URL |
BibTeX:
@article{Chakrabarti2000,
author = {Chakrabarti, S.},
title = {Data mining for hypertext: A tutorial survey},
journal = {SIGKDD Explorations},
publisher = {ACM},
year = {2000},
volume = {1},
number = {2},
pages = {1--11},
url = {citeseer.nj.nec.com/304115.html}
}
|
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| Chakrabarti, S. & Batterrywala, Y. | Mining themes from bookmarks | 2000 | misc | URL | |
| Abstract: Many Web surfers maintain bookmark files containing URLs organized into folders which represent topics by function or content. We propose a new framework for discovering themes among such folders created by a community of surfers with overlapping interests. In principle, surfers need not create personal folders; they can just use a 'standard' tax- onomy such as Yahoo. In practice, a standard taxonomy is neither necessary nor sufficient; it is too detailed in most part, but likely to be inadequate in the community's areas of deep interest. Our framework, based on the minimum de- scription length principle, exploits two semantically different relations: "term occurs in document" and "document occurs in folder", and combines them without the need for heuris- tic weighting of attributes. Themes, in effect, finds common factors in people's interests when it can, while maintaining their individuality when it must. We present experimen- tal results to illustrate our framework and show how it is different from content-based clustering. We also propose a number of applications to finding themes, including collab- orative recommendation and resource discovery. | |||||
BibTeX:
@misc{chakrabarti2000mining,
author = {Chakrabarti, S. and Batterrywala, Y.},
title = {Mining themes from bookmarks},
year = {2000},
url = {chakrabarti00.ps}
}
|
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| Chakrabarti, S., van den Berg, M. & Dom, B. | Focused Crawling: A New Approach to Topic-Specific Web Resource Discovery [BibTeX] |
1999 | Computer Networks | article | URL |
BibTeX:
@article{Chakrabartietal99,
author = {Chakrabarti, S. and van den Berg, M. and Dom, B.},
title = {Focused Crawling: A New Approach to Topic-Specific Web Resource Discovery},
journal = {Computer Networks},
year = {1999},
volume = {31},
pages = {1623--1640},
url = {citeseer.nj.nec.com/chakrabarti99focused.html}
}
|
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| Chakrabarti, S., Dom, B., Gibson, D., Kleinberg, J., Raghavan, P. & Rajagopalan, S. | Automatic resource compilation by analyzing hyperlink structure and associated text [BibTeX] |
1998 | Proceedings of the 7th World-wide web conference (WWW7),30(1-7) | inproceedings | URL |
BibTeX:
@inproceedings{Chakrabartietal98,
author = {Chakrabarti, S. and Dom, B. and Gibson, D. and Kleinberg, J. and Raghavan, P. and Rajagopalan, S.},
title = {Automatic resource compilation by analyzing hyperlink structure and associated text},
booktitle = {Proceedings of the 7th World-wide web conference (WWW7),30(1-7)},
year = {1998},
pages = {65--74},
url = {citeseer.nj.nec.com/chakrabarti98automatic.html}
}
|
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