TY - GEN
T1 - Wikipedia-based query performance prediction
AU - Katz, Gilad
AU - Shtok, Anna
AU - Kurland, Oren
AU - Shapira, Bracha
AU - Rokach, Lior
PY - 2014/1/1
Y1 - 2014/1/1
N2 - The query-performance prediction task is to estimate retrieval effectiveness with no relevance judgments. Pre-retrieval prediction methods operate prior to retrieval time. Hence, these predictors are often based on analyzing the query and the corpus upon which retrieval is performed. We propose a corpus-independent approach to preretrieval prediction which relies on information extracted from Wikipedia. Specifically, we present Wikipedia-based features that can attest to the effectiveness of retrieval performed in response to a query regardless of the corpus upon which search is performed. Empirical evaluation demonstrates the merits of our approach. As a case in point, integrating the Wikipedia- based features with state-of-the-art pre-retrieval predictors that analyze the corpus yields prediction quality that is consistently better than that of using the latter alone.
AB - The query-performance prediction task is to estimate retrieval effectiveness with no relevance judgments. Pre-retrieval prediction methods operate prior to retrieval time. Hence, these predictors are often based on analyzing the query and the corpus upon which retrieval is performed. We propose a corpus-independent approach to preretrieval prediction which relies on information extracted from Wikipedia. Specifically, we present Wikipedia-based features that can attest to the effectiveness of retrieval performed in response to a query regardless of the corpus upon which search is performed. Empirical evaluation demonstrates the merits of our approach. As a case in point, integrating the Wikipedia- based features with state-of-the-art pre-retrieval predictors that analyze the corpus yields prediction quality that is consistently better than that of using the latter alone.
KW - Query-performance prediction
KW - Wikipedia
UR - https://www.scopus.com/pages/publications/84904569028
U2 - 10.1145/2600428.2609553
DO - 10.1145/2600428.2609553
M3 - Conference contribution
AN - SCOPUS:84904569028
SN - 9781450322591
T3 - SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 1235
EP - 1238
BT - SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery
T2 - 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014
Y2 - 6 July 2014 through 11 July 2014
ER -