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Preference Elicitation For Single Crossing Domain [article]

Palash Dey, Neeldhara Misra
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]

Palash Dey
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]

Roberto Pagano, Massimo Quadrana, Mehdi Elahi, Paolo Cremonesi
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

Iván Cantador, Paolo Cremonesi
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]

Palash Dey, Neeldhara Misra
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

Nor Aniza Abdullah, Rasheed Abubakar Rasheed, Mohd Hairul Nizam Md. Nasir, Md Mujibur Rahman
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

Ignacio Fernández-Tobías, Matthias Braunhofer, Mehdi Elahi, Francesco Ricci, Iván Cantador
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]

Edith Elkind, Martin Lackner, Dominik Peters
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?

Felix Holzmeister, Matthias Stefan
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]

Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi
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

Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin
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

Yi Wang, Youping Xiao, Daniel J. Felleman
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

Christopher V. Nicchitta, Deanna M. Carrick, Julie C. Baker-LePain
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

Annette Eidam, Anja Roth, André Lacroix, Sabine Goisser, Hanna M. Seidling, Walter E. Haefeli, Jürgen M. Bauer
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

David Freeman, Paola Manzini, Marco Mariotti, Luigi Mittone
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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