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Preference Elicitation For Single Crossing Domain
[article]
2016
arXiv
pre-print
Prior work on this problem has studied the query complexity of preference elicitation for the unrestricted domain and for the domain of single peaked preferences. ...
In this paper, we consider the domain of single crossing preference profiles and study the query complexity of preference elicitation under various settings. ...
Acknowledgement Palash Dey wishes to gratefully acknowledge support from Google India for providing him with a special fellowship for carrying out his doctoral work. ...
arXiv:1604.05194v1
fatcat:avfeezioj5eh3eyy23ytc3gsua
Recognizing and Eliciting Weakly Single Crossing Profiles on Trees
[article]
2022
arXiv
pre-print
We then develop an efficient elicitation algorithm for this domain which works even if the preferences can be accessed only sequentially and the underlying single-crossing tree structure is not known beforehand ...
We introduce and study the weakly single-crossing domain on trees which is a generalization of the well-studied single-crossing domain in social choice theory. ...
Palash Dey also thanks Satyanath Bhat for proposing the terminology "weakly single crossing profiles on trees" and providing useful inputs to make some of the proofs clearer. ...
arXiv:1611.04175v2
fatcat:bupnvh2favfg5eraiv3xph5wxe
Toward Active Learning in Cross-domain Recommender Systems
[article]
2017
arXiv
pre-print
However, several real-world RSs operate in the cross-domain scenario, where the system generates recommendations in the target domain by exploiting user preferences in both the target and auxiliary domains ...
Although there are variety of works in active learning for RSs research area, almost all of them have focused only on the single-domain recommendation scenario. ...
domain) AL Strategy
MAE
Spread
Single-domain
Cross-domain
Single-domain
Cross-domain
value improve
value
improve value improve
value
improve
with AL
High-predicted [10, 19] 0.823
8.6% ...
arXiv:1701.02021v1
fatcat:q4mdxh66afdbhpo5d3lyone3w4
Tutorial on cross-domain recommender systems
2014
Proceedings of the 8th ACM Conference on Recommender systems - RecSys '14
Cross-domain recommender systems aim to generate or enhance personalized recommendations in a target domain by exploiting knowledge (mainly user preferences) form other source domains. ...
This may beneficial for generating better recommendations, e.g. mitigating the cold-start and sparsity problems in a target domain, and enabling personalized cross-selling for items from multiple domains ...
A third open research issue refers to the usage of cross-domain recommender systems for reducing the user model elicitation effort. ...
doi:10.1145/2645710.2645777
dblp:conf/recsys/CantadorC14
fatcat:uut6h7xanzal7h4mgz65w3ocqi
Elicitation for Preferences Single Peaked on Trees
[article]
2016
arXiv
pre-print
Prior works on preference elicitation focus on unrestricted domain and the domain of single peaked preferences and show that the preferences in single peaked domain can be elicited by much less number ...
We extend this line of research and study preference elicitation for single peaked preferences on trees which is a strict superset of the domain of single peaked preferences. ...
Acknowledgement Palash Dey wishes to gratefully acknowledge support from Google India for providing him with a special fellowship for carrying out his doctoral work. ...
arXiv:1604.04403v1
fatcat:b5vyhjbesncgvlhpt4fzvr6qgy
Eliciting Auxiliary Information for Cold Start User Recommendation: A Survey
2021
Applied Sciences
Recommender systems suggest items of interest to users based on their preferences. These preferences are typically generated from user ratings of the items. ...
The key challenges of the process for obtaining the auxiliary information involve: (1) two separate recommendation processes of conversion from pure cold start to warm start before eliciting the auxiliary ...
different domain-the cross domain. ...
doi:10.3390/app11209608
fatcat:foxbu3gt4fdxhdxuhijtufkyiu
Alleviating the new user problem in collaborative filtering by exploiting personality information
2016
User modeling and user-adapted interaction
identifying additional useful preference data in the target recommendation domain to be elicited from the user; and (c) personality-based cross-domain recommendation, which exploits personality information ...
to better use user preference data from auxiliary domains which can be used to compensate the lack of user preference data in the target domain. ...
We thank Michal Kosinski and David Stillwell for their attention regarding the dataset. ...
doi:10.1007/s11257-016-9172-z
fatcat:u4a2x4h3rvdanj6utjaol5p5pq
Preference Restrictions in Computational Social Choice: A Survey
[article]
2022
arXiv
pre-print
Social choice becomes easier on restricted preference domains such as single-peaked, single-crossing, and Euclidean preferences. ...
Particular focus areas of our survey include algorithms for recognizing whether preferences belong to a particular preference domain, and algorithms for winner determination of voting rules that are hard ...
RESTRICTIONS Single-Crossing Preferences
DOMAIN RESTRICTIONS Single-Crossing Preferences
DOMAIN RESTRICTIONS Single-Crossing Preferences
DOMAIN RESTRICTIONS Single-Crossing Preferences ...
arXiv:2205.09092v1
fatcat:a4vbknzskvhotmedlaneakg2am
The risk elicitation puzzle revisited: Across-methods (in)consistency?
2020
Experimental Economics
Conducting simulation exercises to obtain benchmarks for subjects' behavior, we find that the observed heterogeneity in risk preference estimates across methods is qualitatively similar to the heterogeneity ...
Based on a within-subject experimental design using four widespread risk preference elicitation tasks, we find that the different methods indeed give rise to considerably varying estimates of individual ...
We conjecture to find less variation in revealed preferences for elicitation methods that are assigned to the same domain compared to elicitation methods that are associated with different domains. ...
doi:10.1007/s10683-020-09674-8
pmid:34776759
pmcid:PMC8550567
fatcat:j33qa4yhqngo7esyblouwixdvm
Cross-Domain Recommender Systems
[chapter]
2015
Recommender Systems Handbook
Leveraging all the user preferences available in several systems or domains may be beneficial for generating more encompassing user models and better recommendations, e.g., through mitigating the cold-start ...
Cross-domain recommender systems, thus, aim to generate or enhance recommendations in a target domain by exploiting knowledge from source domains. ...
The preference elicitation process is important for the recommenders (Chapter ??), but it may pose two conflicting requirements. ...
doi:10.1007/978-1-4899-7637-6_27
fatcat:4kregbpxajbnxmg6xywfmm22ki
Workshop on Recommendation in Complex Scenarios
2017
Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17
In reality, recommendation is often a more complex problem: it is usually just a single step in the user's more complex background need. ...
Recommendation algorithms for ratings prediction and item ranking have steadily matured during the past decade. ...
) • Feature-driven recommendation (Techniques for eliciting, capturing and integrating rich information about user preferences for speci c product features) • Constraint-based recommendation (Approaches ...
doi:10.1145/3109859.3109958
dblp:conf/recsys/BogersKMST17
fatcat:46blfzg2nbg63pquxmspfbvame
V2 Thin Stripes Contain Spatially Organized Representations of Achromatic Luminance Change
2006
Cerebral Cortex
However, because V2 thin stripes are functionally heterogeneous in that they consist of largely separate color-and luminance-preferring domains and because the color-preferring domains contain a systematic ...
Here we show, using optical imaging of intrinsic cortical signals and microelectrode recording, that the V2 thin stripe luminance-preferring domains contain spatially segregated modules that encode the ...
We thank Qian Huang for technical support and Andrzej Zych and Xiaobin Huang for computer programing. ...
doi:10.1093/cercor/bhj131
pmid:16467565
fatcat:6juna2yzjfckzhfu7jnk7dhmmq
The messenger and the message: gp96 (GRP94)-peptide interactions in cellular immunity
2004
Cell stress & chaperones (Print)
The molecular basis for this response is proposed to reflect a peptide-binding function for these proteins. ...
Vaccination of mice with tumor-derived stress proteins, such as Hsp70 and gp96 (GRP94), can elicit antitumor immune responses, yielding a marked suppression of tumor growth and metastasis. ...
The guiding hypothesis for the immunogenicity of gp96 identifies an antigenic peptidebinding function for gp96, with gp96-peptide complexes serving as surrogate cross-priming antigens in the elicitation ...
doi:10.1379/csc-62.1
pmid:15633290
pmcid:PMC1065271
fatcat:kxqog4lunfgnbmisfs577k2bsy
Methods to Assess Patient Preferences in Old Age Pharmacotherapy – A Systematic Review
2020
Patient Preference and Adherence
relevant for the elicitation of patient preferences in polypharmacy. ...
Qualitative studies, studies assessing preferences for only two different treatments, and studies targeting preferences for life-sustaining treatments were excluded. ...
preferences for very general outcomes or treatment characteristics; no obvious link to a specific treatment ▬ Moderate: Elicits preferences (eg for the treatment of specific bodily symptoms or for a related ...
doi:10.2147/ppa.s236964
pmid:32184575
pmcid:PMC7061412
fatcat:z2aw4p2cijedjk6uljqfx4skmi
Procedures for eliciting time preferences
2016
Journal of Economic Behavior and Organization
, they should yield identical time preference distributions. ...
We find instead that the monetary discount rates elicited using the Becker-DeGroot-Marschak procedure are significantly lower than those elicited with a multiple price list. ...
For this reason, past work has used the MPL, BDM, and SPA procedures to elicit finer information about the entire preference relation on the domain of interest. ...
doi:10.1016/j.jebo.2016.03.017
fatcat:zvmtl3lgibgmndwmcmy5c6gc5a
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