A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Filters
Exploration-exploitation tradeoff in interactive relevance feedback
2010
Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10
Preserved Fulltext
Optimizing such an exploration-exploitation tradeoff is key to the optimization of the overall utility of relevance feedback to a user in the entire session of relevance feedback. ...
Experiment results show that the proposed learning approach can effectively optimize the exploration-exploitation tradeoff and outperforms the traditional relevance feedback approach which only does exploitation ...
This work is a first step in addressing the new problem of optimizing the exploration-exploitation tradeoff in interactive feedback. There are many interesting directions to further explore. ...
doi:10.1145/1871437.1871631
dblp:conf/cikm/KarimzadehganZ10
fatcat:et67cgnmfzfw3ccszpcepiy64u
Unpacking the exploration–exploitation tradeoff: A synthesis of human and animal literatures
2015
Decision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The balance required in these situations is commonly referred to as the exploration-exploitation tradeoff. ...
Here, we integrate findings from these and other often-isolated literatures in order to gain a better understanding of the possible tradeoffs between exploration and exploitation, and we propose new theoretical ...
feedback information and rewards in a given trial. ...
doi:10.1037/dec0000033
fatcat:iyzharxp2jf2ti5hyczt6hjnuq
Supporting exploratory search tasks with interactive user modeling
2013
Proceedings of the American Society for Information Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Contrary to traditional interactions, such as query based search, query suggestions, or relevance feedback, interactive user modeling allows a user to perceive the state of the user model at all times ...
The results show that interactive user modeling can help users to more effectively find relevant, novel and diverse information without compromises in task execution time. ...
The data used in the experiments is derived from the Web of Science prepared by THOMSON REUTERS, Inc., Philadelphia, Pennsylvania, USA: Copyright THOMSON REUTERS, 2011. ...
doi:10.1002/meet.14505001040
fatcat:tjv5wa3nzngrfilefl5ccwzi2m
Improving the Initial Image Retrieval Set by Inter-Query Learning with One-Class SVMs
[chapter]
2003
Intelligent Systems Design and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Relevance Feedback attempts to reduce the semantic gap between a user's perception of similarity and a feature-based representation of an image by asking the user to provide feedback regarding the relevance ...
In this paper, we focus on the possibility of incorporating prior experience (obtained from the historical interaction of users with the system) to improve the retrieval performance on future queries. ...
Relevance feedback attempts to overcome these problems by gathering semantic information from user interaction. ...
doi:10.1007/978-3-540-44999-7_38
fatcat:3o4qrzxv4zgo3mxlvuqdzyrw6e
Interactive Intent Modeling for Exploratory Search
2018
ACM Transactions on Information Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Consequently, users can discover and explore information relevant to their tasks rather than optimizing results to be maximally relevant for an individual query, which may be suboptimal in the first place ...
The needs of the user may evolve throughout the search session, and the user may need assistance in directing the search to explore initially unpredictable but highly relevant information. ...
We thank all researchers participating in HWFA, Multivire, D2I, and Re: Know for their help and assistance. ...
doi:10.1145/3231593
fatcat:ss7vw5p7yfggvkti3rpaia4jrm
Visual analytics clarify the scalability and effectiveness of massively parallel many-objective optimization: A groundwater monitoring design example
2013
Advances in Water Resources
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Unlike prior approaches to water resources planning and management, massively parallel many-objective visual analytics benefits in its parallel scaling and range of tradeoffs explored with increases in ...
Our study contributes a promising computational platform for providing rapid and evolving feedbacks between science, engineering, and decision makers for problem complexities relevant in a nonstationary ...
doi:10.1016/j.advwatres.2013.01.011
fatcat:fi2imq573rc5xcec4rvgsfipdq
Explore-exploit in top-N recommender systems via Gaussian processes
2014
Proceedings of the 8th ACM Conference on Recommender systems - RecSys '14
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We propose the CGPRANK algorithm, which exploits prior information specified in terms of a Gaussian process kernel function, which allows to share feedback in three ways: Between positions in a list, between ...
In our experiments, our CGPRANK approach significantly outperforms state-of-the-art multi-armed bandit and learning-to-rank methods, with an 18% increase in clicks. ...
CGPRANK navigates the exploration-exploitation tradeoff by predicting performance of as yet unexplored lists using nonparametric Gaussian process models, whose regularity is captured in the kernel function ...
doi:10.1145/2645710.2645733
dblp:conf/recsys/VanchinathanNBK14
fatcat:fcg3jbnvhvbcvga5l6jg4qxjeq
Advertising keyword generation using active learning
2009
Proceedings of the 18th international conference on World wide web - WWW '09
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. ...
We formulate the ranking of relevant terms as a supervised learning problem and suggest new terms for the seed by leveraging user relevance feedback information. ...
Recent related work tends to exploit semantic relation- * Supported by the National Key Technology R&D Program In this paper, we propose an interactive model to explore relevance feedback for keyword generation ...
doi:10.1145/1526709.1526873
dblp:conf/www/WuQHSQSBC09
fatcat:gorfj5qpcbex7dyyxo7kjikhsa
Iterative relevance feedback with adaptive exploration/exploitation trade-off
2012
Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Here, in contrast with other types of retrieval systems, these two regimes are of great importance since the search initialization is hardly optimal (i.e. the page-zero problem) and the relevance feedback ...
Starting from a query-free approach meant to solve the page-zero problem, we propose an adaptive exploration/exploitation trade-off that transforms the original framework into a versatile retrieval framework ...
Although the "sampling" algorithm does not cover the entire collection anymore, the system continuously estimates the exploration/exploitation tradeoff that suits the user. ...
doi:10.1145/2396761.2398435
dblp:conf/cikm/SudituF12
fatcat:pfbx76t6ijdmvccb4ediorgycy
Exploitation and exploration in a performance based contextual advertising system
2010
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '10
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
The exploitation and exploration (EE) tradeoff has been extensively studied in the reinforcement learning community, however, not been paid much attention in online advertising until recently. ...
more about the unknown to improve its knowledge (exploration), since the latter might increase its revenue in the future. ...
RELATED WORK The exploitation and exploration tradeoff was first formally studied in reinforcement learning in 1980's, and later flourished in other fields of machine learning [12, 13] . ...
doi:10.1145/1835804.1835811
dblp:conf/kdd/LiWZCMJ10
fatcat:7rupiwrdovcpjepj55naiedeje
Balance Within and Across Domains: The Performance Implications of Exploration and Exploitation in Alliances
2011
Organization science (Providence, R.I.)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
We posit that firms can overcome such impediments and enhance their performance if they explore in one domain while exploiting in another. ...
We posit that firms can overcome such impediments and enhance their performance if they explore in one domain while exploiting in another. ...
In particular, a firm may face resource allocation tradeoffs when balancing exploration and exploitation within the function domain. ...
doi:10.1287/orsc.1100.0596
fatcat:e4k4wzuoqvanrg7xrawqszpksa
Interactive Symptom Elicitation for Diagnostic Information Retrieval
2018
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Medical information retrieval suffers from a dual problem: users struggle in describing what they are experiencing from a medical perspective and the search engine is struggling in retrieving the information ...
We demonstrate interactive symptom elicitation for diagnostic information retrieval. ...
The algorithm controls the exploration/exploitation tradeoff of the estimates: it predicts expected symptom relevances (exploiting symptoms that have the best fit given the user feedback) and corresponding ...
doi:10.1145/3209978.3210172
dblp:conf/sigir/RuotsaloL18
fatcat:dwdfbvz2wrawhn6k5xtn4bsosi
Interactive Exploration for Image Retrieval
2005
EURASIP Journal on Advances in Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
First, a controlled exploration method of the database is presented. Second, a relevance feedback method based on statistical learning is proposed. ...
Using these powerful indexes, an original interactive retrieval strategy is introduced. The process is based on two steps for handling the retrieval of very large image categories. ...
They are used after the exploration and compared to the relevance feedback technique without exploration. ...
doi:10.1155/asp.2005.2173
fatcat:hb47phaysve3bb6evqfxlzbvnu
AIDE
2015
Proceedings of the VLDB Endowment
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
AIDE steers the user towards interesting data areas based on her relevance feedback on database samples, aiming to achieve the goal of identifying all database objects that match the user interest with ...
In our demonstration, conference attendees will see AIDE in action for a variety of exploration tasks on real-world datasets. ...
ACKNOWLEDGMENTS This work was funded in part by NSF under grants IIS-1253196 and IIS-1218524. ...
doi:10.14778/2824032.2824112
fatcat:qyq4ml3opfhe7o53rwrhwfutjq
Directing exploratory search with interactive intent modeling
2013
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
We systematically evaluated the effect of the interactive intent modeling in a mixed-method task-based information seeking setting with 30 users, where we compared two interface variants for interactive ...
We introduce interactive intent modeling, where the user directs exploratory search by providing feedback for estimates of search intents. ...
To deal with the exploration-exploitation tradeoff we select keywords not with the highest relevance score, but with the largest upper confidence bound for the score. ...
doi:10.1145/2505515.2505644
dblp:conf/cikm/RuotsaloPEGKAKRMJK13
fatcat:yd33vatex5copmg7whoq7cix4u
« Previous
Showing results 1 — 15 out of 14,426 results