Readings in information retrieval
Readings in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A hidden Markov model information retrieval system
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Two-stage language models for information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Discriminative models for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Dependence language model for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Gravitation-based model for information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A generative theory of relevance
A generative theory of relevance
Term proximity scoring for ad-hoc retrieval on very large text collections
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Term proximity scoring for keyword-based retrieval systems
ECIR'03 Proceedings of the 25th European conference on IR research
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Language model is widely used in many retrieval systems. Its document representation is based on the bag of words assumption. Hence, each term in document is treated as an equal object and only the term frequency is considered as the evidence of the importance of term. In this paper, we study the problem of Cognition Attention Attenuation in processing documents and present a Cognition Attention Attenuation based Language Model. This model estimates the document model by attenuation process of term in document. Compared with the classical language model, the advantage of this model is considering about the document structure which is often used in text summarization. From the experiments results, our novel Cognition Attention Attenuation based Language Model outperformed the classical language model with Dirichlet smoothing in blog page and web page.