Rating

    No results.

Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Gordon V. Cormack, Mark D. Smucker, and Charles L. A. Clarke University of Waterloo The TREC 2009 web ad hoc and relevance feedback tasks used a new document collection, the ClueWeb09 dataset, which was crawled from the general Web in early 2009. This dataset contains 1 billion web pages, a substantial fraction of which are […] → Read More: Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Gordon V. Cormack, Mark D. Smucker, and Charles L. A. Clarke University of Waterloo The TREC 2009 web ad hoc and relevance feedback tasks used a new document collection, the ClueWeb09 dataset, which was crawled from the general Web in early 2009. This dataset contains 1 billion web pages, a substantial fraction of which are […] → Read More: Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Gordon V. Cormack, Mark D. Smucker, and Charles L. A. Clarke University of Waterloo The TREC 2009 web ad hoc and relevance feedback tasks used a new document collection, the ClueWeb09 dataset, which was crawled from the general Web in early 2009. This dataset contains 1 billion web pages, a substantial fraction of which are […] → Read More: Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Gordon V. Cormack, Mark D. Smucker, and Charles L. A. Clarke University of Waterloo The TREC 2009 web ad hoc and relevance feedback tasks used a new document collection, the ClueWeb09 dataset, which was crawled from the general Web in early 2009. This dataset contains 1 billion web pages, a substantial fraction of which are […] → Read More: Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Gordon V. Cormack, Mark D. Smucker, and Charles L. A. Clarke University of Waterloo The TREC 2009 web ad hoc and relevance feedback tasks used a new document collection, the ClueWeb09 dataset, which was crawled from the general Web in early 2009. This dataset contains 1 billion web pages, a substantial fraction of which are […] → Read More: Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Gordon V. Cormack, Mark D. Smucker, and Charles L. A. Clarke University of Waterloo The TREC 2009 web ad hoc and relevance feedback tasks used a new document collection, the ClueWeb09 dataset, which was crawled from the general Web in early 2009. This dataset contains 1 billion web pages, a substantial fraction of which are […] → Read More: Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Gordon V. Cormack, Mark D. Smucker, and Charles L. A. Clarke University of Waterloo The TREC 2009 web ad hoc and relevance feedback tasks used a new document collection, the ClueWeb09 dataset, which was crawled from the general Web in early 2009. This dataset contains 1 billion web pages, a substantial fraction of which are […] → Read More: Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

Gordon V. Cormack, Mark D. Smucker, and Charles L. A. Clarke University of Waterloo The TREC 2009 web ad hoc and relevance feedback tasks used a new document collection, the ClueWeb09 dataset, which was crawled from the general Web in early 2009. This dataset contains 1 billion web pages, a substantial fraction of which are […] → Read More: Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets