Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 28 for “"Relevance feedback"”.
-
Improving document representation by accumulating relevance feedback : the relevance feedback accumulation (RFA) algorithm
… representation improvement method called the Relevance Feedback Accumulation (RFA) algorithm is presented. The algorithm provides a mechanism to continuously accumulate relevance assessments over time and across users. It also provides a document representation modification function, or …
-
Approximating true relevance model in relevance feedback.
Relevance is an essential concept in information retrieval (IR) and relevance estimation is a fundamental IR task. It involves not only document relevance estimation, but also estimation of user's information need. Relevance-based language model aims to estimate a relevance model (i.e., a relevant …
-
RELEVANCE FEEDBACK TECHNIQUES FOR CONTENT-BASED IMAGE RETRIEVAL
… be improved. One effective approach is to employ relevance feedback (RF) which has been found to be extremely effective in information retrieval (IR) systems. ln a typical RF process, the user's relevance judgements of retrieved images are used to refine the query in order to improve subsequent …
-
Interactive query expansion and relevance feedback for document retrieval systems
… query expansion within the context of a relevance feedback system that uses term weighting and ranking in searching online databases that are available through online vendors. Previous evaluations of relevance feedback systems have been made in laboratory conditions and not in a real …
-
ExoSpotter: Few Shot Relevance Feedback For Learning High Recall Exoplanet Search
… new approach to identify planet candidates using relevance-feedback accelerated few-shot learning. We generate many labeled synthetic light curves with and without transits by combining a simple physics-based transit injection model with a statistics-based generative model seeded with abundant …
-
A Relevance Feedback-Based System For Quickly Narrowing Biomedical Literature Search Result
… a biomedical literature search system that uses relevance feedback mechanism, fuzzy logic, text mining techniques and Unified Medical Language System. The system extracts and decodes information from the online biomedical documents and uses the extracted information to first filter unwanted …
-
Axiomatic analysis of smoothing methods in language models for pseudo-relevance feedback
Pseudo-Relevance Feedback (PRF) is an important general technique for improving retrieval effectiveness without requiring any user effort. Several state-of-the-art PRF models are based on the language modeling approach where a query language model is learned based on feedback documents. In all …
-
Entity finder: A system for entity web page retrieval using pseudo-relevance feedback
… retrieval problem, and propose a novel pseudo-relevance feedback approach to improve the retrieval accuracy. We evaluate our system over a dataset containing 112 alumni in the College of Engineering of the University of Illinois, and show that our system can effectively retrieve relevant pages …
-
Shape Matching, Relevance Feedback, and Indexing with Application to Spine X-Ray Image Retrieval
… image representation and matching methods, relevance feedback algorithms to incorporate user opinions, and efficient indexing schemes for fast access to image databases. This dissertation studies and develops approaches for all of the above areas within the context of content-Based Image …
-
Investigating ontology based query expansion using a probabilistic retrieval model
… ways and in this work we consider the use of relevance feedback and pseudo-relevance feedback for query expansion. We examine relevance feedback and pseudo-relevance to ascertain the existence of performance differences between relevance feedback and pseudo-relevance feedback. The information …
-
Evolutionary learning multi-agent based information retrieval systems
… they want. Secondly, the measure of a document's relevance is highly subjective and variable between different users. This thesis addresses this problem with an adaptive approach that relies on evolutionary user-modelling. The proposed information retrieval system learns user needs from …
-
Hybrid models for combination of visual and textual features in context-based image retrieval.
… features can be also combined in the context of relevance feedback. The relevance feedback can help us narrow down and correct the search. The feedback mechanism would produce subsets of visual query and feedback representations as well as subsets of textual query and textual feedback …
-
Efficient Indexing, Browsing and Retrieval of Image /Video Content
… for images and videos; (ii) introduction of relevance feedback techniques to image retrieval, which greatly improves the retrieval performance and alleviates the user's query formulation burden; and (iii) introduction of a video hierarchical structure and construction of video Table of …
-
Multiscale techniques for image segmentation, classification and retrieval
… levels of computer-human interaction using relevance feedback algorithms. These techniques are designed to improve performance through relevance judgements on the accuracy of retrieved images. The use of Support Vector Machine Novelty Detection is proposed as a method of incorporating these …
-
Content -Based Access of Image and Video Data
… the interactive retrieval process, namely, relevance feedback algorithms. A novel algorithm, BiasMap, is proposed to take into account specifically the small sample asymmetric nature of the problem. A kernel and a boosting approach have been applied for achieving nonlinear capability. Other …
-
Toward Flexible User Interaction in Content-Based Multimedia Data Retrieval
… advantage of this feature, a new algorithm for relevance feedback is proposed. Next, this thesis discusses data structures and algorithms for high-dimensional data access. This is an essential component of multimedia data retrieval. The results of preliminary experiments are presented.
-
Improving the effectiveness of language modeling approaches to information retrieval: bridging the theory-effectiveness gap
… modeling the highly empirical notion of relevance within a standard statistical model has led to slow progress in optimizing language modeling approaches; after more than one decade of research, the basic language modeling approach to retrieval still remains the same. This suggests that …
-
Enhancing protein-protein docking by new approaches to protein flexibility and scoring of docking hypotheses
… werden. Der hier vorgestellte Ansatz beruht auf Relevance Feedback. Für verschiedene Testfälle kann das Gewichtungsschema verbessert werden, so dass eine bessere Bewertung möglich ist. Eine Adaptierung der modifizierten Gewichte auf Testfälle derselben Enzymklasse zeigt ebenfalls Verbesserungen …
-
A framework for understanding user interaction with content-based image retrieval: model, interface and users
… improve interaction and search accuracy of the relevance feedback mechanism for CBIR. The interface delivers the FFUIM visually, aiming to support users in grasping how the interaction model functions and how best to manipulate it. The framework is tested in three task-based and user-oriented …
-
A study of language models for exploiting user feedback in Information Retrieval
Feedback is an important technique in Information Retrieval to have users provide contextual information about their search needs, with the goal of improving retrieval accuracy and achieving personalization. Relevance feedback has been studied extensively, and in recent years new types of feedback …
Page 1 of 2