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Solar Water Heating is the 'Red-headed Stepchild,' but Metering Returns it to Good Favor

Piper Foster
2012 Energy Procedia  
Unmetered residential systems fail to: i) assure long-term SWH system functionality; ii) participate in the Renewable Energy Credit, CO 2 reduction, or pay-for-performance markets; iii) verify that public  ...  The market is expanding for affordable meters, since the largest global growth in SWH installations is expected in the residential sector between now and 2025.  ...  encourages better performing systems over the long term."  ... 
doi:10.1016/j.egypro.2012.11.012 fatcat:4u7qvetdazh2tb2xe2at7jbjtu

Believing others: Pros and cons

Sandip Sen
2002 Artificial Intelligence  
In open environments there is no central control over agent behaviors. On the contrary, agents in such systems can be assumed to be primarily driven by self interests.  ...  Since the true nature of agents is not known a priori and is learned from experience, believing others can also pose its own hazards.  ...  Acknowledgements This work has been supported in part by an NSF CAREER award IIS-9702672. We would like to acknowledge the programming efforts of Anish Biswas and Sandip Debnath.  ... 
doi:10.1016/s0004-3702(02)00289-8 fatcat:pwcb7gfmcbejxf4765suam4quy

Deictic believability: Coordinated gesture, locomotion, and speech in lifelike pedagogical agents

James C. Lester, Jennifer L. Voerman, Stuart G. Towns, Charles B. Callaway
1999 Applied Artificial Intelligence  
A k ey problem posed by lifelike agents that inhabit arti cial worlds is deictic believability.  ...  In this paper we describe a framework for achieving deictic believability in animated agents.  ...  Support for this work was provided by the following organizations: the National Science Foundation under grants CDA-9720395 (Learning and Intelligent Systems Initiative) and IRI-9701503 (CAREER Award Program  ... 
doi:10.1080/088395199117324 fatcat:7fwfpbrpcbbuni5spmpzxfp6by

Do Registered Reports Make Scientific Findings More Believable to the Public?

Elaine Costa, Yoel Inbar, David Tannenbaum
2022 Collabra: Psychology  
One possible benefit of registered reports is that they may increase public acceptance of controversial research findings.  ...  Our results help clarify public attitudes and beliefs about scientific findings in light of recent methodological developments.  ...  Since conducting our pilot, we have been persuaded by recent recommendations to use OLS with clustered standard errors if one is simply trying to account for non-independence in the data (McNeish et al  ... 
doi:10.1525/collabra.32607 fatcat:fgkb37qewba7tpu62je4eqt6h4

Change You Can Believe In? Hedge Fund Data Revisions

ANDREW J. PATTON, TARUN RAMADORAI, MICHAEL STREATFIELD
2015 Journal of Finance  
A modified version of this proposal was voted for in October 2011, and was phased in starting late 2012.  ...  Tracking changes to statements of historical performance recorded between 2007 and 2011, we find that historical returns are routinely revised.  ...  In contrast, our revisers have higher lockups, and, in particular, higher high-water marks. 15 A theoretical model of the "optimal" amount of misreporting, in terms of the incentives to honestly report  ... 
doi:10.1111/jofi.12240 fatcat:27pmi5fvjnampmrqiua7yi2irm

Change You Can Believe In? Hedge Fund Data Revisions

Andrew J. Patton, Tarun Ramadorai, Michael Streatfield
2012 Social Science Research Network  
A modified version of this proposal was voted for in October 2011, and was phased in starting late 2012.  ...  Tracking changes to statements of historical performance recorded between 2007 and 2011, we find that historical returns are routinely revised.  ...  In contrast, our revisers have higher lockups, and, in particular, higher high-water marks. 15 A theoretical model of the "optimal" amount of misreporting, in terms of the incentives to honestly report  ... 
doi:10.2139/ssrn.1934543 fatcat:dschrsd5l5ebncahpegtcsdoki

2. "We See What We Want to Believe": Archival Logic and Database Aesthetics in the War Films of Errol Morris [chapter]

2019 Where Truth Lies  
In database terms, the individual record itself may be representational, but the data set as a form is manifestly nonrepresentational.  ...  As a collection, they are, in the strictest sense of the term, nonrepresentational.  ... 
doi:10.1525/9780520972117-005 fatcat:tw4gnm2s6zc3lcrpc25f36vwai

Reinforcement Learning-based Product Delivery Frequency Control [article]

Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang
2020 arXiv   pre-print
Frequency control is an important problem in modern recommender systems. It dictates the delivery frequency of recommendations to maintain product quality and efficiency.  ...  There remain open questions on what objective we should optimize to represent business values in the long term best, and how we should balance between daily metrics and resource consumption in a dynamically  ...  Acknowledgments We thank Yuankai Ge and Jason Gauci's support in this project. We thank all partners and client teams' collaboration and contributions.  ... 
arXiv:2012.10858v1 fatcat:qmvo2vrho5eutozsotl6eztsny

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems [article]

Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier
2021 arXiv   pre-print
The development of recommender systems that optimize multi-turn interaction with users, and model the interactions of different agents (e.g., users, content providers, vendors) in the recommender ecosystem  ...  RecSim NG is a scalable, modular, differentiable simulator implemented in Edward2 and TensorFlow.  ...  Modeling sequential user behavior in using RL to optimize recommender strategies has long been considered important [43, 47] .  ... 
arXiv:2103.08057v1 fatcat:wgg3hbvk5nee5fjliwz24rctbm

Lymphatic vessels – absorptive sumps or leaky pumps?

Joshua Scallan, Virginia Huxley
2010 Physiology News  
'This was my first ever conference and all I can say is that I had such a wonderful experience and met so many excellent scientists in my field and enjoyed the meeting a lot.'  ...  'This is the first Physiological Society meeting I have attended and I thoroughly enjoyed it.'  ...  The specific association between the GH/IGF-I system and collagen synthesis is most evident in patients with acromegaly, where long-term elevated GH and IGF-I levels cause excessive growth of collagen  ... 
doi:10.36866/pn.80.16 fatcat:owfbjpr7cbakrnmpwhrvypyt7e

Algorithm Centrism in the DSA's Regulation of Recommender Systems

Paddy Leerssen, Fachinformationsdienst Für Internationale Und Interdisziplinäre Rechtsforschung
2022 Verfassungsblog: On Matters Constitutional  
The regulation of recommender systems is often framed as an issue of algorithmic governance.  ...  This systemic view pays closer attention to recommendation outputs (i.e. recommendations) and inputs (i.e. user behavior), and not just processing logics.  ...  Weaudiences, speakers, watchdogs, regulators -should start with what platforms are recommending, before diving into why.  ... 
doi:10.17176/20220330-011148-0 fatcat:g3e7dqk27jecdny33gjz52tszy

Constrained Optimization for Homepage Relevance

Deepak Agarwal, Shaunak Chatterjee, Yang Yang, Liang Zhang
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
The objective is to optimize user engagement under certain business constraints.  ...  Since there are multiple widgets to rank when a user visits, launching a personalized model to simply optimize user engagement such as clicks is often inappropriate.  ...  long-term value.  ... 
doi:10.1145/2740908.2745398 dblp:conf/www/AgarwalCYZ15 fatcat:dsdk727lh5b7bp4tpzjoggn6nm

Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach [article]

Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard Zemel, Craig Boutilier
2020 arXiv   pre-print
In realistic settings, this is often not true---the dynamics of an RS ecosystem couple the long-term utility of all agents.  ...  We formulate the recommendation problem in this setting as one of equilibrium selection in the induced dynamical system, and show that it can be solved as an optimal constrained matching problem.  ...  We assume that over long horizons, user engagement is optimized by maximizing user utility, which in turn drives sustained user satisfaction with the platform.  ... 
arXiv:2008.00104v2 fatcat:ilotl7j4ofgm7phtzfietddbqq

Time-Sensitive Recommendation From Recurrent User Activities

Nan Du, Yichen Wang, Niao He, Jimeng Sun, Le Song
2015 Neural Information Processing Systems  
By making personalized suggestions, a recommender system is playing a crucial role in improving the engagement of users in modern web-services.  ...  Two central but less explored questions are how to recommend the most desirable item at the right moment, and how to predict the next returning time of a user to a service.  ...  Acknowledge The research was supported in part by NSF IIS-1116886, NSF/NIH BIGDATA 1R01GM108341, NSF CAREER IIS-1350983.  ... 
dblp:conf/nips/DuWHSS15 fatcat:fvv335gdrrfdjaha3cubygarxq

Beyond Personalization: Research Directions in Multistakeholder Recommendation [article]

Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Pizzato
2019 arXiv   pre-print
Recommender systems are personalized information access applications; they are ubiquitous in today's online environment, and effective at finding items that meet user needs and tastes.  ...  The concept of multistakeholder recommendation has emerged as a unifying framework for describing and understanding recommendation settings where the end user is not the sole focus.  ...  Multiple objectives arise in this area because users' short-term preferences and their long-term well-being may be in conflict [93, 110] .  ... 
arXiv:1905.01986v2 fatcat:6a4wfm6mwfhzfghdgvcsifdgbq
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