المؤلف | Hasanain M. |
تاريخ الإتاحة | 2020-02-05T08:53:05Z |
تاريخ النشر | 2018 |
اسم المنشور | WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining |
اسم المنشور | 11th ACM International Conference on Web Search and Data Mining, WSDM 2018 |
المصدر | Scopus |
الترقيم الدولي الموحد للكتاب | 9.78E+12 |
معرّف المصادر الموحد | http://dx.doi.org/10.1145/3159652.3170458 |
معرّف المصادر الموحد | http://hdl.handle.net/10576/12688 |
الملخص | Typical information retrieval system evaluation requires expensive manually-collected relevance judgments of documents, which are used to rank retrieval systems. Due to the high cost associated with collecting relevance judgments and the ever-growing scale of data to be searched in practice, ranking of retrieval systems using manual judgments is becoming less feasible. Methods to automatically rank systems in absence of judgments have been proposed to tackle this challenge. However, current techniques are still far from reaching the ranking achieved using manual judgments. I propose to advance research on automatic system ranking using supervised and unsupervised techniques. 2018 Copyright held by the owner/author(s). |
راعي المشروع | This work was made possible by NPRP grant# NPRP 7-1313-1-245 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
اللغة | en |
الناشر | Association for Computing Machinery, Inc |
العنوان | Automatic ranking of information retrieval systems |
النوع | Conference |
الصفحات | 749-750 |
رقم المجلد | 2018-Febuary |
dc.accessType
| Abstract Only |