Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Search engine coverage bias: evidence and possible causes
Information Processing and Management: an International Journal
Simple BM25 extension to multiple weighted fields
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Term distillation in patent retrieval
PATENT '03 Proceedings of the ACL-2003 workshop on Patent corpus processing - Volume 20
Using controlled query generation to evaluate blind relevance feedback algorithms
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
A new approach for evaluating query expansion: query-document term mismatch
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Enhancing patent retrieval by citation analysis
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Retrievability: an evaluation measure for higher order information access tasks
Proceedings of the 17th ACM conference on Information and knowledge management
Comparing metrics across TREC and NTCIR: the robustness to system bias
Proceedings of the 17th ACM conference on Information and knowledge management
Transforming patents into prior-art queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Analyzing Document Retrievability in Patent Retrieval Settings
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Identification of low/high retrievable patents using content-based features
Proceedings of the 2nd international workshop on Patent information retrieval
Applications of web query mining
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
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With increasing volumes of data, much effort has been devoted to finding the most suitable answer to an information need. However, in many domains, the question whether any specific information item can be found at all via a reasonable set of queries is essential. This concept of Retrievability of information has evolved into an important evaluation measure of IR systems in recall-oriented application domains. While several studies evaluated retrieval bias in systems, solid validation of the impact of retrieval bias and the development of methods to counter low retrievability of certain document types would be desirable. This paper provides an in-depth study of retrievability characteristics over queries of different length in a large benchmark corpus, validating previous studies. It analyzes the possibility of automatically categorizing documents into low and high retrievable documents based on document properties rather than complex retrievability analysis. We furthermore show, that this classification can be used to improve overall retrievability of documents by treating these classes as separate document corpora, combining individual retrieval results. Experiments are validated on 1.2 million patents of the TREC Chemical Retrieval Track.