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Diversification for multi-domain result sets
2011
Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11
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study for evaluating the utility of diversification in multi-domain queries. ...
This paper explores two different notions of diversity for multi-domain result sets, compares experimentally alternative algorithms for the trade-off between relevance and diversity, and performs a user ...
Overall, these results support the hypothesis that diversification algorithms can improve the quality of multi-domain result sets. ...
doi:10.1145/2063576.2063851
dblp:conf/cikm/BozzonBFT11
fatcat:rxzikjm7l5bypeforojuk7dvmu
Diversification for Multi-domain Result Sets
[chapter]
2012
Lecture Notes in Computer Science
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study for evaluating the utility of diversification in multi-domain queries. ...
This paper explores two different notions of diversity for multi-domain result sets, compares experimentally alternative algorithms for the trade-off between relevance and diversity, and performs a user ...
Overall, these results support the hypothesis that diversification algorithms can improve the quality of multi-domain result sets. ...
doi:10.1007/978-3-642-31753-8_10
fatcat:csabsrc4ejdynmp3leyxjr4eui
UFMG at the TREC 2016 Dynamic Domain track
2016
Text Retrieval Conference
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In particular, based on fine-grained real-time feedback obtained from a simulated user, we apply diversification strategies that make use of single-source as well multi-source information for mining flat ...
To this end, our participation investigates the suitability of multiple diversification approaches for dynamic information retrieval. ...
For each document d ∈ D, the user provides the system with a feedback set F. ...
dblp:conf/trec/MoraesSZZ16
fatcat:vkuhu7xiwzalzlrbp4si5mg7fu
Explicit Query Interpretation and Diversification for Context-Driven Concept Search Across Ontologies
[chapter]
2016
Lecture Notes in Computer Science
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of a query; and (3) balances the relevance and diversity of search results. ...
Many millions of concepts are contained in a large number of ontologies across diverse domains. ...
Paul Alexander of Stanford University for sharing the BioPortal query log. We would like to thank Prof. Gong Cheng for his advice and guidance on working with Falcons. ...
doi:10.1007/978-3-319-46523-4_17
fatcat:ix37tkjh4ncdtfygcul6vxa2ky
Defending against adversarial attacks by randomized diversification
[article]
2019
arXiv
pre-print
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We introduce a multi-channel architecture in a gray-box scenario, which assumes that the architecture of the classifier and the training data set are known to the attacker. ...
for the attacker. ...
Classification with multi-channel permutations in the direct domain The simplest case of randomized diversification can be constructed for the direct domain with the permutation of input pixels. ...
arXiv:1904.00689v1
fatcat:e6bxnxxf4je5regybarwelae6u
Diversifying Multi-aspect Search Results Using Simpson's Diversity Index
2020
Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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2021 pre-print arXiv:2105.10075v1 fatcat:57dmr2trqnelzb6zoio3ctqxgy
In search and recommendation, diversifying the multi-aspect search results could help with reducing redundancy, and promoting results that might not be shown otherwise. ...
Many previous methods have been proposed for this task. ...
CONCLUSIONS In this paper, we presented a novel approach to multi-aspect search results diversification, by adapting the Simpson's Diversity Index (SDI) from biology for this task. ...
doi:10.1145/3340531.3412163
dblp:conf/cikm/ZhouAK20
fatcat:fybcyot2f5dzvmxst2ugvzbjye
Issues and Trends of Portfolio Diversification
2019
International Journal of Academic Research in Business and Social Sciences
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In addition, the paper highlight some of the latest trends and developments in the area namely multi-asset class investment and comovement of risk and return. ...
The purpose of this paper is to examine the issues and trends of diversification of risk on capital market. ...
Over the past decades, diminishing benefits resulting from diversification has been a hot issue for investors and researchers. ...
doi:10.6007/ijarbss/v9-i11/6652
fatcat:3toyjhajtfck3iiqrcfqfmcisu
Study of the Applicability of an Itemset-Based Portfolio Planner in a Multi-Market Context
2018
International Conference on Extending Database Technology
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This paper investigates the applicability of itemset-based strategies for planning stock portfolios in a multi-market context. ...
Furthermore, the performance of multi-market strategies with sector-based diversification is on average superior or comparable to single-market ones. ...
For all the considered timezones we reported the results achieved by using long selling positions (see Section 4) and by setting the minimum diversification threshold to 70% (i.e., at least seven stocks ...
dblp:conf/edbt/CaglieroG18
fatcat:f74ffdyqmffvbgavzmisu22wfe
Exploiting Regression Trees as User Models for Intent-Aware Multi-attribute Diversity
2015
ACM Conference on Recommender Systems
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The model is based on regression trees and is used to improve personalized diversification of the recommendation list in a multi-attribute setting. ...
We tested the proposed approach and showed its effectiveness in two different domains, i.e. books and movies. ...
CONCLUSIONS AND FUTURE WORK This paper addresses the problem of intent-aware diversification in recommender systems in multi-attribute settings. ...
dblp:conf/recsys/TomeoNGLSS15
fatcat:xxrnydfq7nag7krgl7zyssub5e
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
[article]
2019
arXiv
pre-print
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Our approach is composed of two stages, i.e., Domain Diversification (DD) and Multi-domain-invariant Representation Learning (MRL). ...
We introduce a novel unsupervised domain adaptation approach for object detection. ...
Figure 7 . 7 Comparison results for the class-wise AP of Water-color2k test set and Comic2k test set [22] . ...
arXiv:1905.05396v1
fatcat:ejwjkxllozbrnjovydl7kk2sjy
Using Domain Knowledge to Boost Case-Based Diagnosis: An Experimental Study in a Domain with Very Poor Data Quality
[chapter]
2004
Applications and Innovations in Intelligent Systems XI
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Our experimental results show that the domain knowledge can significantly improve the performance of both the non-diversified and the diversified approaches. ...
The quality of case data can be an important factor for a Case Based Reasoning (CBR) system. ...
Experimental Results
Using Domain Knowledge without Diversification The results of the first experiment on using domain knowledge without diversification are depicted in Fig. 3 . ...
doi:10.1007/978-1-4471-0643-2_10
dblp:conf/sgai/0023CL03
fatcat:5rl6dmirijfohhalv4lymc5wiy
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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At the MRL stage, we apply adversarial learning with a multi-domain discriminator to encourage feature to be indistinguishable among the domains. ...
We introduce a novel unsupervised domain adaptation approach for object detection. ...
Figure 7 . 7 Comparison results for the class-wise AP of Water-color2k test set and Comic2k test set [22] . ...
doi:10.1109/cvpr.2019.01274
dblp:conf/cvpr/KimJKCK19
fatcat:bcdpw7upv5akxh3tql3ux3mh3q
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images
[article]
2020
arXiv
pre-print
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We propose a novel approach, coined DAugNet, for unsupervised, multi-source, multi-target, and life-long domain adaptation of satellite images. It consists of a classifier and a data augmentor. ...
Most of the existing approaches seek for adapting the model from one domain to another. ...
In such a multi-source and multi-target segmentation setting, our goal is to generate maps for N t unlabeled target domains. ...
arXiv:2005.06216v2
fatcat:zxtbryqz4zgxzn7bx4724wr52e
USEMP: Finding Diverse Images at MediaEval 2015
2015
MediaEval Benchmarking Initiative for Multimedia Evaluation
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the multi-topic part. ...
Our best results in terms of the official ranking metric on the one-topic part of the test set came by the runs that combine visual and textual information while the textual-only run performed better on ...
This resulted into setting {w = 0.4, N = 210, M = 2} for the one-topic instantiation and {w = 0.4, N = 300, M = 5} for the mutli-topic instantiation. ...
dblp:conf/mediaeval/XioufisPPK15
fatcat:cieewjw27vgapd4gpw54mphmqy
DoS
2013
Proceedings of the 25th International Conference on Scientific and Statistical Database Management - SSDBM
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Data diversification provides users with a concise and meaningful view of the results returned by search queries. ...
The explosion of big data emphasizes the need for data diversification in modern data management platforms, especially for applications based on web, scientific, and business databases. ...
We would like to thank the anonymous reviewers as well as Abdullah Albarrak for their valuable comments and suggestions. ...
doi:10.1145/2484838.2484858
dblp:conf/ssdbm/KhanDS13
fatcat:qwvuv5iro5e6biqmm3i3pdll2y
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