cwl_eval: An Evaluation Tool for Information Retrieval
暂无分享,去创建一个
[1] Peter Bailey,et al. Incorporating User Expectations and Behavior into the Measurement of Search Effectiveness , 2017, ACM Trans. Inf. Syst..
[2] Alistair Moffat,et al. How Precise Does Document Scoring Need to Be? , 2016, AIRS.
[3] Peter Bailey,et al. INST: An Adaptive Metric for Information Retrieval Evaluation , 2015, ADCS.
[4] Alistair Moffat,et al. Users versus models: what observation tells us about effectiveness metrics , 2013, CIKM.
[5] Jaana Kekäläinen,et al. Cumulated gain-based evaluation of IR techniques , 2002, TOIS.
[6] Tetsuya Sakai,et al. Summaries, ranked retrieval and sessions: a unified framework for information access evaluation , 2013, SIGIR.
[7] Fan Zhang,et al. Evaluating Web Search with a Bejeweled Player Model , 2017, SIGIR.
[8] Charles L. A. Clarke,et al. Time-based calibration of effectiveness measures , 2012, SIGIR '12.
[9] Paul Thomas,et al. Measuring the Utility of Search Engine Result Pages: An Information Foraging Based Measure , 2018, SIGIR.
[10] Mark Sanderson,et al. Test Collection Based Evaluation of Information Retrieval Systems , 2010, Found. Trends Inf. Retr..
[11] Guido Zuccon,et al. A Test Collection for Matching Patients to Clinical Trials , 2016, SIGIR.
[12] Guido Zuccon,et al. TrecTools: an Open-source Python Library for Information Retrieval Practitioners Involved in TREC-like Campaigns , 2019, SIGIR.
[13] Norbert Fuhr,et al. Some Common Mistakes In IR Evaluation, And How They Can Be Avoided , 2018, SIGIR Forum.
[14] Alistair Moffat,et al. Rank-biased precision for measurement of retrieval effectiveness , 2008, TOIS.