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Relevance Feedback (rf)

Interactive genetic algorithm with relevance feedback for content based image retrieval

Interactive genetic algorithm with relevance feedback for content based image retrieval

... Relevance feedback (RF) is a commonly accepted method to improve the effectiveness of retrieval systems ...satisfied. RF strategies help to alleviate the semantic gap problem, since it allows ...

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Relevance Feedback Models for Recommendation

Relevance Feedback Models for Recommendation

... and relevance feedback (RF). Both CF and RF recommend items based on user preference/relevance ...Indeed, RF tech- niques have been applied to CBF, or adaptive fil- tering, ...

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Information Retrieval Based On Relevance Feedback Algorithm

Information Retrieval Based On Relevance Feedback Algorithm

... need. Relevance Feedback (RF) is a class of effective algorithms for improving Information Retrieval (IR) and it consists of gathering further data representing the user‘s information need and ...

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Relevance Feedback Techniques in Content Based Image Retrieval : A Survey

Relevance Feedback Techniques in Content Based Image Retrieval : A Survey

... Navigation-Pattern-Based Relevance Feedback (NPRF), to achieve the high efficiency and effectiveness of ...on RF was achieved in a small number of ...of relevance feedback, the ...

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SVM Relevance Feedback in HSV Quantization for CBIR

SVM Relevance Feedback in HSV Quantization for CBIR

... SVM relevance feedback technique in HSV quantization for ...SVM RF prediction model. The SVM RF model is formed based on user-provided feedback ...users’ feedback images are ...

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Information Retrieval by Using Relevance Feedback

Information Retrieval by Using Relevance Feedback

... The Relevance Feedback can be positive, negative or both. Positive RF simplest brings applicable files into play and bad RF makes simplest use of irrelevant files, any effective RF ...

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Relevance Feedback using Latent Information

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 ...

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Query Expansion based on Pseudo Relevance Feedback from Definition Clusters

Query Expansion based on Pseudo Relevance Feedback from Definition Clusters

... pseudo relevance feedback to obtain expansion terms from definition ...local feedback, based on the document collection, and expansion with WordNet synonyms, for the task of document retrieval in ...

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Incorporating user search behaviour into relevance feedback

Incorporating user search behaviour into relevance feedback

... influence relevance feedback ...of relevance assessments, ...making relevance assessments – selecting which documents to view, viewing the document, assessing how relevant is the document - ...

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An enhanced relevance feedback method for image retrieval

An enhanced relevance feedback method for image retrieval

... Hence, relevance feedback was introduced to reduce the semantic gap between low-level features and high level semantics and the subjectivity of human perception problems in CBIR (Tao ...2006). ...

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Generating Simulated Relevance Feedback: A Prognostic Search approach

Generating Simulated Relevance Feedback: A Prognostic Search approach

... Implicit relevance feedback has proved to be a important resource in improv- ing search accuracy and ...user relevance feedback data, based on insights from query log ...ulated ...

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Multimedia Queries by Example and Relevance Feedback

Multimedia Queries by Example and Relevance Feedback

... We describe the FALCON system for handling multimedia queries with relevance feedback. FALCON distinguishes itself in its ability to handle even disjunctive queries on metric spaces. Our experiments show ...

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Selective relevance feedback using term characteristics

Selective relevance feedback using term characteristics

... Our overall research goal is not only to make retrieval more effective but to make a user’s interaction with an IR system more meaningful. In part this may be achieved by increasing the range of ways a user can express ...

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Structure Cognizant Pseudo Relevance Feedback

Structure Cognizant Pseudo Relevance Feedback

... We propose a structure cognizant frame- work for pseudo relevance feedback (PRF). This has an application, for ex- ample, in selecting expansion terms for general search from subsets such as Wikipedia, ...

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Relevance feedback for cross language image retrieval

Relevance feedback for cross language image retrieval

... Sanderson, M. and Clough, P. (2004) Relevance feedback for cross language image retrieval. In: Advances in Information Retrieval : 26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April ...

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Exploring Pseudo-Relevance Feedback for Microblog Search

Exploring Pseudo-Relevance Feedback for Microblog Search

... Another interesting observation is that pseudo-relevance feedback with hashtags is harmful to performance of microblog search. The reason of this phenomenon is two-fold. On one hand, users are inclined to ...

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Diverse relevance feedback for time series with autoencoder based summarizations

Diverse relevance feedback for time series with autoencoder based summarizations

... of RF for a partic- ular representation, method and data set (4 representations x 5 methods x 85 data sets = total 5100 ...significance. RF with the configurations given in this study improves accuracy in ...

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Query Expansion using Artificial Relevance Feedback

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] ...

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A Novel Effective Algorithm for Improving Information Retrieval on Document Streams

A Novel Effective Algorithm for Improving Information Retrieval on Document Streams

... Relevance Feedback (RF) algorithm. Here this RF Algorithms is mainly inspired by quantum detection principle in order to re- weight each and every object that is matched with our query keyword ...

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Improving video event retrieval by user feedback

Improving video event retrieval by user feedback

... SVM-based RF approaches have two major drawbacks: 1) multiple feedback interactions are necessary because of the poor adaptability, flexibility and robustness of the original visual features; 2) positive ...

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