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In this paper, we mainly focuses on relevant feedback Algorithm based on language model. We use a mixture model to describe the process of generating document ...
In this paper, we mainly focuses on relevant feedback Algorithm based on language model. We use a mixture model to describe the process of generating document ...
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Our model fully utilizes feedbacks including labeled relevant documents, labeled irrelevant documents and unlabeled documents to estimate a new query model. We ...
Bibliographic details on Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval.
Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval. S. Lv, Z. Deng, H. Yu, N. Gao, and J. Jiang.
We present a novel study of ad hoc retrieval methods utilizing document-level relevance feedback and/or focused relevance feedback; namely, passages marked ...
This paper proposes and evaluates two different approaches to updating a query language model based on feedback documents, one based on a generative ...
The language modeling approach to retrieval has been shown to perform well empirically. One advantage of this new approach is its statistical foundations.
Missing: Fully Utilize Feedbacks:
Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval ... feedback in the language modeling approach to information retrieval.
Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval. Conference Paper. Full-text available. Dec 2011. Sheng-Long Lv ...