Wikipedia-Based Query Performance Prediction
SIGIR '14: The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval Gold Coast Queensland Australia July, 2014(2014)
摘要
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 pre-retrieval 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.
更多查看译文
关键词
query-performance prediction,Wikipedia
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络