Meta-evaluation of Dynamic Search: How Do Metrics Capture Topical Relevance, Diversity and User Effort?

Ameer Albahem|Damiano Spina|Falk Scholer|Lawrence Cavedon


Anthology ID:DBLP:conf/ecir/AlbahemSSC19
Volume:Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I
Year:2019
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:607-620
URL:https://doi.org/10.1007/978-3-030-15712-8_39
DOI:https://doi.org/10.1007/978-3-030-15712-8_39
DBLP:conf/ecir/AlbahemSSC19
BibTeX:
@inproceedings{albahem-2019-metaevaluation, author = {Ameer Albahem and Damiano Spina and Falk Scholer and Lawrence Cavedon}, editor = {Leif Azzopardi and Benno Stein and Norbert Fuhr and Philipp Mayr and Claudia Hauff and Djoerd Hiemstra}, title = {{Meta-evaluation of Dynamic Search: How Do Metrics Capture Topical Relevance, Diversity and User Effort?}}, booktitle = {{Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I}}, series = {Lecture Notes in Computer Science}, volume = {11437}, pages = {607--620}, publisher = {Springer}, year = {2019}, url = {https://doi.org/10.1007/978-3-030-15712-8_39}, doi = {https://doi.org/10.1007/978-3-030-15712-8_39} }