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D. Carmel, D. Cohen, R. Fagin, E. Farchi, M. Herscovici, Y. S. Maarek, and A. So#er. Static index pruning for information retrieval systems. In SIGIR Conference on Research and Development in Information Retrieval, pages 43--50, New Orleans, Louisiana, USA, September 2001.

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Optimized Query Execution in Large Search Engines with Global.. - Long, Suel (2003)   (3 citations)  (Correct)

....with main memory consumption or CPU resources for evaluating the cosine measure. Other work assumes that random lookups are feasible. Schemes can be either precise or only compute approximate top results [14, 18] or use precomputation to reduce the lengths of the stored inverted lists [17]. We also note that much of the previous work performs ranking on the union, rather than intersection, of the inverted lists. This results in increased work for the CPU for evaluating the cosine measure, and some schemes store precomputed floating point scores as part of the inverted lists. One ....

R. Fagin, D. Carmel, D. Cohen, E. Farchi, M. Herscovici, Y. Maarek, and A. Soffer. Static index pruning for information retrieval systems. In Proc. of the 24th Annual SIGIR Conf. on Research and Development in Information Retrieval, pages 43--50, September 2001.


Text Joins for Data Cleansing and Integration in an RDBMS - Gravano, Ipeirotis.. (2003)   (1 citation)  (Correct)

....edit distance into a database and realize it as SQL statements. The information retrieval field has produced approaches to speed up query execution that involve computation of the cosine similarity metric using inverted indexes [13] Techniques that are based on the pruning of the inverted index [11, 12] are close in spirit to our work, especially if we implement the sampling step using the ROUND function (Figure 3) which effectively prunes all the tokens with small weights. Cohen s WHIRL system [3] is also highly relevant to our work. WHIRL reasons explicitly about text similarity to compute ....

A. Soffer, D. Carmel, D. Cohen, R. Fagin, E. Farchi, M. Herscovici, and Y. S. Maarek. Static index pruning for information retrieval systems. In SIGIR 2001.


Text Joins in an RDBMS for Web Data Integration - Gravano, Ipeirotis, Koudas.. (2003)   (3 citations)  (Correct)

....approach. Finally, some techniques also make special use of the available main memory to improve query processing performance. These techniques are not compatible with our key objective of running the text joins in an unmodified RDBMS. Techniques that are based on the pruning of the inverted index [22, 24] are close in spirit to our work, especially if we implement the sampling step using the ROUND function (Figure 4) which effectively prunes all the tokens with small weights. Sampling has been utilized in a variety of tasks of database interest including data mining, estimation and optimization ....

A. Soffer, D. Carmel, D. Cohen, R. Fagin, E. Farchi, M. Herscovici, and Y. S. Maarek. Static index pruning for information retrieval systems. In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2001.


Comparing Top k Lists - Fagin, Sivakumar (2003)   (18 citations)  Self-citation (Fagin)   (Correct)

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D. Carmel, D. Cohen, R. Fagin, E. Farchi, M. Herscovici, Y. Maarek, and A. Soffer. Static index pruning for information retrieval systems. In Proceedings of the 24th ACM SIGIR Conference on Research and Development in Information Retrieval, pages 43--50, 2001.


Improving Web Search Efficiency via a Locality.. - de Moura, Santos, .. (2005)   (Correct)

No context found.

D. Carmel, D. Cohen, R. Fagin, E. Farchi, M. Herscovici, Y. S. Maarek, and A. So#er. Static index pruning for information retrieval systems. In SIGIR Conference on Research and Development in Information Retrieval, pages 43--50, New Orleans, Louisiana, USA, September 2001.


Three-Level Caching for Efficient Query Processing in Large Web .. - Long, Suel (2005)   (Correct)

No context found.

R. Fagin, D. Carmel, D. Cohen, E. Farchi, M. Herscovici, Y. Maarek, and A. Soffer. Static index pruning for information retrieval systems. In Proc. of the 24th Annual SIGIR Conf. on Research and Development in Information Retrieval, pages 43--50, Sept. 2001.


Improving Web Search Efficiency via a Locality.. - de Moura, Santos, .. (2005)   (Correct)

No context found.

D. Carmel, D. Cohen, R. Fagin, E. Farchi, M. Herscovici, Y. S. Maarek, and A. So#er. Static index pruning for information retrieval systems. In SIGIR Conference on Research and Development in Information Retrieval, pages 43--50, New Orleans, Louisiana, USA, September 2001.


Three-Level Caching for Efficient Query Processing in Large Web .. - Long, Suel (2005)   (Correct)

No context found.

R. Fagin, D. Carmel, D. Cohen, E. Farchi, M. Herscovici, Y. Maarek, and A. Soffer. Static index pruning for information retrieval systems. In Proc. of the 24th Annual SIGIR Conf. on Research and Development in Information Retrieval, pages 43--50, Sept. 2001.


Hybrid Global-Local Indexing for Efficient Peer-To-Peer.. - Tang, Dwarkadas (2004)   (6 citations)  (Correct)

No context found.

D. Carmel, D. Cohen, R. Fagin, E. Farchi, M. Herscovicl, Y. S. Marrek, and A. Scoffer. Static Index Pruning for Information Retrieval Systems. In SIGIR'01, 2001.


Next-Generation Information Retrieval: Integrating Document and.. - Bremer (2003)   (Correct)

No context found.

David Carmel, Doron Cohen, Ronald Fagin, Eitan Farchi, Michael Herscovici, Yolle S. Maarek, and Aya Soffer. Static Index Pruning for Information Retrieval Systems. In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 43--50, 2001. 106

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