[PDF] Top 20 Query Expansion using Artificial Relevance Feedback
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Query Expansion using Artificial Relevance Feedback
... Recent methods for query expansion are mining user logs[15] and construction of user profile[16] .Web based query expansion is the process where the information terms to the user query a[r] ... See full document
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Query Expansion with the Minimum User Feedback by Transductive Learning
... of query expansion under the condition that we can utilize little relevance information, espe- cially we only know a relevant document and a non- relevant ...applying query expansion, ... See full document
8
Ontology Based Query Expansion with a Probabilistic Retrieval Model
... of relevance feedback (RFB) and pseudo-relevance feedback (PF) query expansion techniques using infor- mation from a news domain ...the query expansion ... See full document
15
Ontology Based Query Expansion with a Probabilistic Retrieval Model
... for query expansion has had mixed success (Gonzalo et al 1998) because they are effective in increasing recall and less successful than RFB but as good as PF (Billerbeck and Zobel ...based query ... See full document
15
Query Expansion Strategy based on Pseudo Relevance Feedback and Term Weight Scheme for Monolingual Retrieval
... The group of words for query expansion is selected using the following approaches: the highest score, average score and a group of words that has maximum number of keywords.. As each que[r] ... See full document
6
Biomedical Document Retrieval for Clinical Decision Support System
... Query Expansion (QE) is the process of reformu- lating a query to improve retrieval performance and efficiency of IR ...user query with additional relevant terms and by re-weighting all terms. ... See full document
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A survey on the use of relevance feedback for information access systems
... the query using terms chosen from the relevant documents in the top 20 retrieved ...of query expansion is to select terms that are good at retrieving these new relevant ...(no ... See full document
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Query Expansion based on Pseudo Relevance Feedback from Definition Clusters
... Dictionary definitions constitute a formidable re- source for Natural Language Processing. In con- trast to explicit structural and semantic relations between word senses such as synonymy or hy- pernymy, definitions are ... See full document
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Optimizing an Arabic Query using Comprehensive Query Expansion Techniques
... automatic query expansion could be considered as global or ...local query expansion methods, in order to expand or improve an initial query, these methods adopt and utilize a few ... See full document
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Phrase2VecGLM: Neural generalized language model–based semantic tagging for complex query reformulation in medical IR
... either query terms representing a query doc- ument (Yang et ...that using these embeddings within a language model (LM) could help to derive terms or con- cepts that may be closely associated with a ... See full document
11
Overview of the 2005 cross-language image retrieval track (ImageCLEF)
... dimensions: query language, type (automatic or manual), use of feedback (typically relevance feedback is used for automatic query expansion), modality (text only, image only or ... See full document
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Interactive query expansion and relevance feedback for document retrieval systems
... xviii ABSTRACT Abstract This thesis is aimed at investigating interactive query expansion within the context of a relevance feedback system that uses term weighting and ranking in search[r] ... See full document
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Incorporating Semantic Word Representations into Query Expansion for Microblog Information Retrieval
... of-the-art query performance predictors in combi- nation with different retrieval models for microblog ...top-k query processing in a huge microblog dataset for compact indexing and judicious ... See full document
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Query exhaustivity, relevance feedback and search success in automatic and interactive query expansion
... by using a four-level relevance scale reflecting the degree of relevance of the ...by using procedures and criteria described in Sormunen ... See full document
20
Cross Discourse and Multilingual Exploration of Textual Corpora with the DualNeighbors Algorithm
... Jack Delano in 1941 and another by Marion Post Walcott in 1939. The second row contains captions and images of embedding neighbors. Among these are two Fritz Henle photographs of white nurses training to assist with an ... See full document
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SOFTWARE CONFIGURATION MANAGEMENT PRACTICE IN MALAYSIA
... a Relevance Feedback Bayesian network is introduced in SIFT- modified LBP descriptor to improve the accuracy of image retrieval with the representation of neighbor pixel ... See full document
9
Relevance Feedback using Latent Information
... novel relevance feedback (RF) method that uses not only the sur- face information in texts, but also the la- tent information contained ...user feedback and in each document in the search results ... See full document
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A simulated study of implicit feedback models
... Both coefficients follow similar trends for all implicit models. Again the Jeffrey’s and binary voting model learn at a faster rate, with the Jeffrey’s performing best. The random model returns a coefficient value close ... See full document
17
Information Retrieval by Using Relevance Feedback
... The new information structure which is a probabilistic utilized for the similarity search list, the rank-based search means Rank Cover Tree (RCT), in which no contribution of numerical imperatives for choice also, ... See full document
6
Manifold-Ranking-Based Keyword Propagation for Image Retrieval
... combining relevance feedback to refine the retrieval result; and (2) introducing labeling vector to online collect training samples and to off-line update the keyword ...in relevance feedback; ... See full document
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