Probabilistic models in information retrieval
The Computer Journal - Special issue on information retrieval
Using statistical testing in the evaluation of retrieval experiments
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Passage-level evidence in document retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
WWW '03 Proceedings of the 12th international conference on World Wide Web
A formal study of information retrieval heuristics
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Object-level ranking: bringing order to Web objects
WWW '05 Proceedings of the 14th international conference on World Wide Web
Controlling overlap in content-oriented XML retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
2D Conditional Random Fields for Web information extraction
ICML '05 Proceedings of the 22nd international conference on Machine learning
Simultaneous record detection and attribute labeling in web data extraction
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
A bayesian logistic regression model for active relevance feedback
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A new probabilistic retrieval model based on the dirichlet compound multinomial distribution
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Active relevance feedback for difficult queries
Proceedings of the 17th ACM conference on Information and knowledge management
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Document-level information retrieval can unfortunately lead to highly inaccurate relevance ranking in answering object-oriented queries. A paradigm is proposed to enable searching at the object level. However, this reliability assumption is no longer valid in the object retrieval context when multiple copies of information about the same object typically exist. To resolve multiple copies inconsistent issue, we propose several language models for Web object retrieval, namely an unstructured object retrieval model, a structured object retrieval model, and a hybrid model with both structured and unstructured retrieval features. We test these models on a paper search engine and compare their performances. We conclude that the hybrid model is the superior by taking into account the extraction errors at varying levels.