Condensed List Relevance Models
By Fernando Diaz. 2015
22 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Hamed Zamani
- Nick Craswell
- W. Bruce Croft
- Bhaskar Mitra
- Fernando Diaz
- Jimmy J. Lin
- Jamie Callan
- Sebastian Hofstätter
In Information Systems
- Hamed Zamani
- Bhaskar Mitra
- Nick Craswell
- W. Bruce Croft
- Fernando Diaz
- Jimmy J. Lin
- Andrew Yates
- Jamie Callan
Citations in the corpus
- Relevance-based Word Embedding (2017, methodology): “rms is set to 10. According to the curves correspond to AP and Robust, the original query language model needs to be interpolated with the model estimated using relevance-based word embeddings 11Diaz [10] showed that for precision-oriented tasks, the second retrieval run can be restricted to the ini”
- Query Expansion Techniques for Information Retrieval: a Survey (2017, unknown): “However, recently a number of articles [83,290] supported the re-ranking with valid proof and obtained good retrieval effectiveness.”
- Query Expansion with Locally-Trained Word Embeddings (2016, result): “Previous results have demonstrated that this approach results in performance nearly identical with an expanded retrieval at a much lower cost (Diaz, 2015).”