Overview of the seventh text retrieval conference (trec-7) [on-line]
By Ellen M. Voorhees, Donna K. Harman. 1999
Subfields: Evaluation & Benchmarks
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Evaluation & Benchmarks
- Jimmy J. Lin
- Andrew Yates
- Rodrigo Nogueira
- Emine Yilmaz
- Kalervo Järvelin
- Stéphane Marchand-Maillet
- M. Franklin
- Amit Singhal
Citations in the corpus
- Pretrained Transformers for Text Ranking: BERT and Beyond (2020, background): “(32)Even within TREC, topic formats have evolved over time, but the structure we describe has been stable since TREC-7 in 1998 [Voorhees and Harman, 1998].”
- Document expansion for speech retrieval (1999, methodology): “Pseudo-feedback has been used by many participants at TREC and has been quite successful over the last few years [28].”
- Liberal relevance criteria of TREC -: counting on negligible documents? (2002, background): “In TREC, for example, the pooling d to guarantee that the list of documents is as comprehensive as possible [13, 14].”
- Semantic similarity methods in wordNet and their application to information retrieval on the web (2005, methodology): “This is a valid sampling method known as “pooling method” [25].”
- A statistical method for system evaluation using incomplete judgments (2006, methodology): “…and while the depth 100 pool is considerably smaller than the document collection, it still engenders a large assessment effort: in TREC8, for example, 86,830 relevance judgments were used to assess the quality of the retrieved lists corresponding to 129 system runs in response to 50 topics [11].”
- Performance evaluation in content-based image retrieval: overview and proposals (2001, background): “The TREC project (see TRE (1999), Vorhees & Harmann (1998)) provides a focus for these activities and is the worldwide standard in IR.”
- Concept-Based Information Retrieval Using Explicit Semantic Analysis (2011, methodology): “In Proceedings of the 7th Text REtrieval Conference (TREC-7).”
- Cumulated gain-based evaluation of IR techniques (2002, methodology): “[Voorhees and Harman 1999.]”
- Evaluating collaborative filtering recommender systems (2004, unknown): “Voorhees and Harman report the strength of correlations computed between different evaluation metrics used in the TREC-7 analysis [Voorhees and Harman 1999].”
- Character N-Gram Tokenization for European Language Text Retrieval (2004, result): “This is consistent with studies of word-based phrasal indexing (Voorhees and Harman 1999).”
- Efficient Filtering of XML Documents for Selective Dissemination of Information (2000, methodology): “With the notable exception of the SIFT project, work on IR-based models has largely focused on the effectiveness of the profiles rather than the efficiency of filtering [VH98].”
- Query Expansion Techniques for Information Retrieval: a Survey (2017, unknown): “It has been experimentally observed that during query expansion, attempt to increase recall rate adversely affects precision ratio and vice versa [110,112,202].”