Results 241 to 250 of about 2,490,590 (283)

Diversified relevance feedback

Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, 2013
The need for a search engine to deal with ambiguous queries has been known for a long time (diversification). However, it is only recently that this need has become a focus within information retrieval research. How to respond to indications that a result is relevant to a query (relevance feedback) has also been a long focus of research.
openaire   +1 more source

Relevance Feedback for XML Retrieval

2005
Relevance Feedback (RF) algorithms were studied in the context of traditional IR systems where the returned unit is an entire document. In this paper we describe a component ranking algorithm for XML retrieval and show how to apply known RF algorithms from traditional IR on top of it to achieve Relevance Feedback for XML.
Yosi Mass, Matan Mandelbrod
openaire   +1 more source

Relevance feedback and inference networks

Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '93, 1993
Relevance feedback, which modifies queries using judgements of the relevance of a few, highly-ranked documents, has historically been an important method for increasing the performance of information retrieval systems. In this paper, we extend the inference network model introduced by Turtle and Croft to include relevance feedback techniques.
David Haines, W. Bruce Croft
openaire   +1 more source

Utilizing Focused Relevance Feedback

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016
We present a novel study of ad hoc retrieval methods utilizing document-level relevance feedback and/or focused relevance feedback; namely, passages marked as (non-)relevant. The first method uses a novel mixture model that integrates relevant and non-relevant information at the language model level. The second method fuses retrieval scores produced by
Elinor Brondwine, Anna Shtok, Oren Kurland   +2 more
openaire   +2 more sources

Alternating feature spaces in relevance feedback

Proceedings of the 2001 ACM workshops on Multimedia multimedia information retrieval - MULTIMEDIA '01, 2001
Image retrieval using relevance feedback can be considered as a classification process. In practice, the generalization of classifier is often constrained by the insufficiency of training samples. In this paper, we propose a novel relevance feedback approach capable of collecting more representative samples.
Fang Qian, Mingjing Li, HongJiang Zhang, Wei-Ying Ma, Bo Zhang 0010   +4 more
openaire   +2 more sources

Relevance feedback at INEX 2005

ACM SIGIR Forum, 2006
Relevance feedback in the INEX environment is addressed by several papers in the proceedings of the INEX 2005 Workshop [1]. The most extensive discussion is provided by Schenkel and Theobald [2]. Mihajlovic, et. al. [3], and Sauvagnat, et. al. [4], describe approaches to relevance feedback in
openaire   +2 more sources

Mixture of KL subspaces for relevance feedback

Multimedia Tools and Applications, 2007
Relevance feedback has recently emerged as a solution to the problem of improving the retrieval performance of an image retrieval system based on low-level information such as color, texture and shape features. Most of the relevance feedback approaches limit the utilization of the user's feedback to a single search session, performing a short-term ...
FRANCO, ANNALISA, LUMINI, ALESSANDRA
openaire   +2 more sources

Learning by examples as relevance feedback and relevance feedback as learning by examples

IEE Two-day Seminar. Searching for Information: Artificial Intelligence and Information Retrieval Approaches, 1999
The relevance feedback in information retrieval (IR) is used for query formulation and consists of assessing a sample of retrieved documents. Probably, the most known probabilistic model based on learning from relevance feedback is the so called Robertson and Sparck-Jones' model (RSJ) (S. Robertson and K. Sparck-Jones, 1976; C.
openaire   +1 more source

THE ESTIMATION OF TERM RELEVANCE WEIGHTS USING RELEVANCE FEEDBACK

Journal of Documentation, 1981
The term relevance weighting method has been shown to produce optimal information retrieval queries under well‐defined conditions. Unfortunately, the relevance weights cannot be determined in the absence of accurate knowledge of the occurrence frequencies of the terms in the relevant and non‐relevant documents of a collection.
Harry Wu, Gerard Salton
openaire   +1 more source

3D relevance feedback via multilevel relevance judgements

The Visual Computer, 2010
Relevance feedback techniques are expected to play an important role in 3D search engines, as they help to bridge the semantic gap between the user and the system. Indeed, similarity is a cognitive process that depends on the observer. We propose a novel relevance feedback technique, which relies on the assumption that similarity may emerge from the ...
Daniela Giorgi, Patrizio Frosini, Michela Spagnuolo, Bianca Falcidieno   +3 more
openaire   +1 more source