Integrating neurophysiologic relevance feedback in intent modeling for information retrieval
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Journal of the Association for Information Science and Technology (70:9) - Hoboken : Wiley - S. 917-930
- Event
-
Veröffentlichung
- (where)
-
Berlin
- (who)
-
Technische Universität Berlin
- (when)
-
2019
- Creator
-
Jacucci, Giulio
Barral, Oswald
Daee, Pedram
Wenzel, Markus A.
Serim, Baris
Ruotsalo, Tuukka
Pluchino, Patrik
Freeman, Jonathan
Gamberini, Luciano
Kaski, Samuel
Blankertz, Benjamin
- DOI
-
10.14279/depositonce-9431
- Handle
-
11303/10479
- URN
-
urn:nbn:de:101:1-2019121800583431370980
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
05.11.2255, 3:03 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Jacucci, Giulio
- Barral, Oswald
- Daee, Pedram
- Wenzel, Markus A.
- Serim, Baris
- Ruotsalo, Tuukka
- Pluchino, Patrik
- Freeman, Jonathan
- Gamberini, Luciano
- Kaski, Samuel
- Blankertz, Benjamin
- Technische Universität Berlin
Time of origin
- 2019
Other Objects (12)
Relevance feedback in information retrieval : a comparison including a practical evaluation of several approaches to relevance feedback in information retrieval
A preference-based relevance feedback approach for polyrepresentative multimedia retrieval
A multi-dimensional semantic pseudo-relevance feedback framework for information retrieval
A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval
Convolutional neural networks for relevance feedback in content based image retrieval : A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback
Relevance feedback, Classification (1.6.2011)
Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS
Intent
Integrating unified medical language system and association mining techniques into relevance feedback for biomedical literature search
Improving video event retrieval by user feedback
On the concept of relevance in legal information retrieval
Letter of Intent
Relevance feedback in information retrieval : a comparison including a practical evaluation of several approaches to relevance feedback in information retrieval
A preference-based relevance feedback approach for polyrepresentative multimedia retrieval
A multi-dimensional semantic pseudo-relevance feedback framework for information retrieval
A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval
Convolutional neural networks for relevance feedback in content based image retrieval : A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback
Relevance feedback, Classification (1.6.2011)
Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS
Intent
Integrating unified medical language system and association mining techniques into relevance feedback for biomedical literature search
Improving video event retrieval by user feedback
On the concept of relevance in legal information retrieval
Letter of Intent
Relevance feedback in information retrieval : a comparison including a practical evaluation of several approaches to relevance feedback in information retrieval
A preference-based relevance feedback approach for polyrepresentative multimedia retrieval
A multi-dimensional semantic pseudo-relevance feedback framework for information retrieval
A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval
Convolutional neural networks for relevance feedback in content based image retrieval : A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback
Relevance feedback, Classification (1.6.2011)
Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS
Intent
Integrating unified medical language system and association mining techniques into relevance feedback for biomedical literature search
Improving video event retrieval by user feedback
On the concept of relevance in legal information retrieval