Relevant bibliographies by topics / Adaptive preferences

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Adaptive preferences'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Adaptive preferences"

1

COLBURN, BEN. "Autonomy and Adaptive Preferences." Utilitas 23, no. 1 (February 15, 2011): 52–71. http://dx.doi.org/10.1017/s0953820810000440.

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Adaptive preference formation is the unconscious altering of our preferences in light of the options we have available. Jon Elster has argued that this is bad because it undermines our autonomy. I agree, but think that Elster's explanation of why is lacking. So, I draw on a richer account of autonomy to give the following answer. Preferences formed through adaptation are characterized by covert influence (that is, explanations of which an agent herself is necessarily unaware), and covert influence undermines our autonomy because it undermines the extent to which an agent's preferences are ones that she has decided upon for herself. This answer fills the lacuna in Elster's argument. It also allows us to draw a principled distinction between adaptive preference formation and the closely related – but potentially autonomy-enhancing – phenomenon of character planning.
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Mitchell, Polly. "Adaptive Preferences, Adapted Preferences." Mind 127, no. 508 (July 10, 2018): 1003–25. http://dx.doi.org/10.1093/mind/fzy020.

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DORSEY, DALE. "Adaptive Preferences Are a Red Herring." Journal of the American Philosophical Association 3, no. 4 (2017): 465–84. http://dx.doi.org/10.1017/apa.2017.36.

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ABSTRACT:Current literature in moral and political philosophy is rife with discussion of adaptive preferences. This is no accident: while preferences are generally thought to play an important role in a number of normative domains (including morality, the personal good, and political justice), adaptive preferences seem exceptions to this general rule—they seem problematic in a way that preference-respecting theories of these domains cannot adequately capture. Thus, adaptive preferences are often taken to be theoretically explanatory: a reason for adjusting our theories of the relevant normative domains. However, as I shall argue here, the relentless focus on the phenomenon of preference adaptation is a mistake. While I do not take a stand on whether typical examples of adaptive preferences are or are not problematic, I argue here that if they are problematic, it cannot be because they are adaptive.
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Walsh, Mary Barbara. "Feminism, Adaptive Preferences, and Social Contract Theory." Hypatia 30, no. 4 (2015): 829–45. http://dx.doi.org/10.1111/hypa.12175.

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Feminists have long been aware of the pathology and the dangers of what are now termed “adaptive preferences.” Adaptive preferences are preferences formed in unconscious response to oppression. Thinkers from each wave of feminism continue to confront the problem of women's internalization of their own oppression, that is, the problem of women forming their preferences within the confining and deforming space that patriarchy provides. All preferences are, in fact, formed in response to a (more or less) limited set of options, but not all preferences are unconscious, pathological responses to oppression. Feminist theory therefore requires a method for distinguishing all preferences from adaptive or deformed preferences. Social contract theory provides such a tool. Social contract theory models autonomous preference‐acquisition and retention at both the external level of causation and the internal level of justification. In doing so, social contract theory exposes preferences that do not meet those standards, acting as both a conceptual test that identifies adaptive preferences and as a practical tool for personal and social clarification. A social contract approach helps persons and societies to identify and to confront preferences rooted in unconscious response to oppression.
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Prashant, Poudel, and Shrestha Sushil. "Exploring the user’s preferences of different adaptation policies in adaptive menu design." Trends in Computer Science and Information Technology 8, no. 1 (February 15, 2023): 005–11. http://dx.doi.org/10.17352/tcsit.000062.

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Adaptive User Interfaces (AUIs) have been developed to improve the usability of products by adapting to the user, the platform, and the environment. However, there is a limited understanding of how different adaptation policies impact personalization and usability in adaptive menus. The present study aimed to investigate the effectiveness of different adaptation policies in adaptive menu design. The study surveyed computer science students at Kathmandu University and conducted a usability study to gather data. The results of the study showed that a majority of participants were neutral in their perception of the ease of use of the websites they regularly visit, but a strong majority (83%) indicated a preference for personalized menu options. Personalization was found to be a key factor in the effectiveness of adaptive menus. Participants valued the ability of adaptive menus to tailor their options based on their specific needs or preferences. The findings of this study provide insight into users’ preferences for adaptation policies in adaptive menus and suggest that a recency-frequency-based menu is most effective in meeting users’ needs. Similarly, findings also suggest users’ preference for adaptation policy also changes based on the context of use. Future research could further investigate the effectiveness of different adaptation policies in different contexts of use.
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TERLAZZO, ROSA. "Must Adaptive Preferences Be Prudentially Bad for Us?" Journal of the American Philosophical Association 3, no. 4 (2017): 412–29. http://dx.doi.org/10.1017/apa.2018.1.

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ABSTRACT:In this paper, I argue for the counterintuitive conclusion that the same adaptive preference can be both prudentially good and prudentially bad for its holder: that is, it can be prudentially objectionable from one temporal perspective, but prudentially unobjectionable from another. Given the possibility of transformative experiences, there is an important sense in which even worrisome adaptive preferences can be prudentially good for us. That is, if transformative experiences lead us to develop adaptive preferences, then their objects can become prudentially better for our actual selves than the objects of their nonadaptive alternatives would now be. I also argue, however, that the same worrisome adaptive preferences might still be prospectively prudentially objectionable: that is, our pretransformation selves might be prudentially better off undergoing a nonadaptive alternative transformative experience instead. I argue that both claims hold across the range of the most broadly defended accounts of well-being in the literature.
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Zhang, Bingjie, Junchao Yu, Zhe Kang, Tianyu Wei, Xiaoyu Liu, and Suhua Wang. "An adaptive preference retention collaborative filtering algorithm based on graph convolutional method." Electronic Research Archive 31, no. 2 (2022): 793–811. http://dx.doi.org/10.3934/era.2023040.

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<abstract> <p>Collaborative filtering is one of the most widely used methods in recommender systems. In recent years, Graph Neural Networks (GNN) were naturally applied to collaborative filtering methods to model users' preference representation. However, empirical research has ignored the effects of different items on user representation, which prevented them from capturing fine-grained users' preferences. Besides, due to the problem of data sparsity in collaborative filtering, most GNN-based models conduct a large number of graph convolution operations in the user-item graph, resulting in an over-smoothing effect. To tackle these problems, Adaptive Preference Retention Graph Convolutional Collaborative Filtering Method (APR-GCCF) was proposed to distinguish the difference among the items and capture the fine-grained users' preferences. Specifically, the graph convolutional method was applied to model the high-order relationship on the user-item graph and an adaptive preference retention mechanism was used to capture the difference between items adaptively. To obtain a unified users' preferences representation and alleviate the over-smoothing effect, we employed a residual preference prediction mechanism to concatenate the representation of users' preferences generated by each layer of the graph neural network. Extensive experiments were conducted based on three real datasets and the experimental results demonstrate the effectiveness of the model.</p> </abstract>
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Olsaretti, Serena. "Introduction." Royal Institute of Philosophy Supplement 59 (July 31, 2006): 1–8. http://dx.doi.org/10.1017/s1358246106059017.

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In a number of debates in contemporary moral and political philosophy and philosophy of economics, philosophers hold the conviction that preferences have normative significance. A central assumption that underlies this conviction is that a cogent account of preference-formation can be developed. This is particularly evident in debates about well-being. Those who defend subjective accounts of well-being, on which a person’s life goes better for her to the extent that her preferences are satisfied, often qualify that account so that it does not include malformed or adaptive preferences (that is, preferences formed in non-autonomous ways, or humble preferences tailored to stifling circumstances), the satisfaction of which does not seem to contribute to well-being. This assumes that there is a normative standard of preference-formation with which to identify those preference that are malformed or adaptive in the relevant sense. An account of preference-formation is also important for philosophers who uphold an objective theory of well-being, on which well-being consists of the pursuit of objectively valuable goals, but who also believe in the value of freedom and thus emphasise the importance of respecting individuals’ choices among various goals. For they, too, in extolling the importance of respect for choices, assume that these choices are not distorted by inauthentically formed preferences, and thus also need an account of preference-formation to help distinguish those cases in which we ought to respect people’s choices from those in which we do not. In the vast literature on preferences, however, relatively little attention has been devoted to the
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Wei, Feng, Shuyu Chen, Jie Jin, Shuai Zhang, Hongwei Zhou, and Yingbo Wu. "Adaptive Alleviation for Popularity Bias in Recommender Systems with Knowledge Graph." Security and Communication Networks 2022 (April 7, 2022): 1–9. http://dx.doi.org/10.1155/2022/4264489.

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Recommender systems are known to suffer from the popularity bias problem: popular items are recommended frequently, and nonpopular ones rarely, if at all. Prior studies focused on tackling this issue by increasing the number of recommended nonpopular (long-tail) items. However, these methods ignore the users’ personal popularity preferences and increase the exposure rate of the nonpopular items indiscriminately, which may hurt the user experience because different users have diverse interests in popularity. In this work, we propose a novel debias framework with knowledge graph (AWING), which adaptively alleviates popularity bias from the users’ perspective. Concretely, we explore fine-grained preferences (including popularity preference) behind a user-item interaction by using the heterogeneous graph transformer over the knowledge graph embedded with popularity nodes and endow the preferences with explicit semantics. Based on this idea, we can manipulate how much popularity preference affects recommendation results and improves the exposure rate of nonpopular items while considering the popularity preferences of different users. Experiments on public datasets show that the proposed method AWING can effectively alleviate popularity bias and ensure the user experience at the same time. The case study further demonstrates the feasibility of AWING on the explainable recommendation task.
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von Weizsäcker, Carl Christian. "Adaptive Preferences and Institutional Stability." Journal of Institutional and Theoretical Economics 170, no. 1 (2014): 27. http://dx.doi.org/10.1628/093245614x13871986329207.

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Dissertations / Theses on the topic "Adaptive preferences"

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Jenson, Audra Christine. "Adaptive Preference Tradeoffs." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83433.

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Consider the following scenario: A mother chooses to marry off her 10 year-old daughter, not because she doesn’t know the harmful effects of child marriage, nor because she thinks that it is good that her daughter marries when she is 10 years old. Rather, she is unable to feed her daughter and realizes that her daughter’s survival depends upon her marrying a financially stable man. This is an apparent example of what human development practitioners and political philosophers call an adaptive preference (AP): a preference, formed under oppressive circumstances, that seems to perpetuate the agent’s own oppression. Prevailing opinion is that forced tradeoffs—especially following Serene Khader’s taxonomy—, like the case presented above, are a type of AP: one in which a person makes a decision because of a limited option set. In this paper I argue that no paradigm cases of forced tradeoffs should not be classified as APs. Instead, I offer a revised definition of adaptive preferences where I argue that adaptive preferences are psychological traits that cause the agent with adaptive preferences to make irrational or uninformed decisions that perpetuate their own oppression. I defend this new definition by exploring the implications of changing the definition. In particular, forced tradeoffs involve different kinds of interventions from other kinds of adaptive preferences and including forced tradeoffs risks committing testimonial injustice against those who have limited option sets.
Master of Arts
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Park, Kyounga. "Learning user preferences for intelligent adaptive in-vehicle navigation." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506034.

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McLaughlin, Shane Brendan. "Measurement of Driver Preferences and Intervention Responses as Influenced by Adaptive Cruise Control Deceleration Characteristics." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/9751.

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In comparison to conventional cruise control, adaptive cruise control (ACC) vehicles are capable of sensing forward traffic and slowing to accommodate as necessary. When no forward vehicles are present, ACC function is the same as conventional cruise control. However, with ACC, when a slower vehicle is detected, the ACC system will decelerate and follow at a selected time-based distance. While slowing to follow, the driver will experience a system-controlled deceleration of the ACC vehicle. An experiment was conducted to evaluate driver preferences for the distance at which the primary deceleration occurs and the level of deceleration that is obtained. Driver intervention was required in one trial and driver response behavior was measured. Ten men and ten women in two age groups evaluated the decelerations from a cruise speed of 70mph to a following speed of 55mph behind a confederate lead vehicle on the highway. Evaluations can be made using four scales: Good vs. Bad, Comfortable vs. Uncomfortable, Jerky vs. Smooth, and Early vs. Late. Decelerations of approximately 0.06g which occur approximately 200ft to 250ft behind the lead vehicle were most preferred. Prior to intervention, foot position ranged from a point directly below the brake pedal to 16.4in from the brake pedal. Foot motion began between 21.12s time-to-collision (TTC) and 3.97s TTC. Eighty percent of the participants paused to "cover" the brake before final motion to activate the brake. The older age group intervened (braked) later than the younger age group. Driver braking after intervention ranged from 0.16g to 0.32g.
Master of Science
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Wolf, Christian Marc, and chris@adaptive-learning net. "Construction of an Adaptive E-learning Environment to Address Learning Styles and an Investigation of the Effect of Media Choice." RMIT University. Education, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080625.093019.

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This study attempted to combine the benefits of multimedia learning, adaptive interfaces, and learning style theory by constructing a novel e-learning environment. The environment was designed to accommodate individual learning styles while students progressed through a computer programming course. Despite the benefits of individualised instruction and a growing worldwide e-learning market, there is a paucity of guidance on how to effectively accommodate learning styles in an online environment. Several existing learning-style adaptive environments base their behaviour on an initial assessment of the learner's profile, which is then assumed to remain stable. Consequently, these environments rarely offer the learner choices between different versions of content. However, these choices could cater for flexible learning styles, promote cognitive flexibility, and increase learner control. The first research question underlying the project asked how learning styles could be accommodated in an adaptive e-learning environment. The second question asked whether a dynamically adaptive environment that provides the learner with a choice of media experiences is more beneficial than a statically adapted environment. To answer these questions, an adaptive e-learning environment named iWeaver was created and experimentally evaluated. iWeaver was based on an introductory course in Java programming and offered learning content as style-specific media experiences, assisted by additional learning tools. These experiences and tools were based on the perceptual and information processing dimension of an adapted version of the Dunn and Dunn learning styles model. An experimental evaluation of iWeaver was conducted with 63 multimedia students. The analysis investigated the effect of having a choice of multiple media experiences (compared to having just one static media experience) on learning gain, enjoyment, perceived progress, and motivation. In addition to these quantitative measurements, learners provided qualitative feedback at the end of each lesson. Data from 27 participants were sufficiently complete to be analysed. For the data analysis, participants were divided into two groups of high and low interest in programming and Java, then into two groups of high and low experience with computers and the Internet. Both group comparisons revealed statistically significant differences for the effect of choice. Having a choice of media experiences proved beneficial for learners with low experience but detrimental for learners with high experience or interest. These findings suggest that the effect of choice appears to be strongly influenced by the learner's background. It is hypothesised that encouraging a more active learner role in educational systems would expand the positive influence of choice to a wider range of learners. The study has contributed some weight to the argument that for certain groups of learners, it is more beneficial to view learning style as a flexible, rather than a stable construct. As a practical implication, it seems advisable to collect data on prior experience, interest, and the initial learning style distribution of the target audience before developing environments comparable to iWeaver. [See http://www.adaptive-learning.net/research/media.htm for media files associated with this thesis.]
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GIROLETTI, TOA. "MEASURING AUTONOMY THROUGH A SUBJECTIVE EVALUATION." Doctoral thesis, Università Cattolica del Sacro Cuore, 2017. http://hdl.handle.net/10280/18563.

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All’interno del quadro teorico del Capability Approach ‘agency’ viene definito come ciò che permette agli individui di raggiungere i propri obiettivi. Quando il concetto di ‘agency’ viene studiato attraverso misure soggettive, insorge il problema delle preferenze adattive. Lo scopo di questa Tesi è di testare una metodologia che possa catturare la percezione individuale di ‘agency’ nelle diverse dimensioni che compongono la nostra vita, limitando i problemi di misurazione dovuti delle preferenze adattive. Per questo fine, ci affidiamo al ‘Relative Autonomy Index’. Inoltre, utilizziamo la metodologia di ‘Achoring Vignette’ per aumentare la comparabilità tra le percezioni dei singoli individui. Nella prima parte, indaghiamo se il nostro metodo effettivamente riduce l’incomparabilità individuale attraverso uno studio pilota. I risultati dimostrano come il nostro metodo sia in grado di catturare differenze nel comportamento di risposta. Nella seconda parte, sulla base di una seconda raccolta di dati, applichiamo la nostra metodologia al fine di indagare l'impatto dei Gruppi di Acquisto Solidale sul livello di autonomia di un gruppo di produttori italiani. I nostri risultati indicano che il coinvolgimento con i Gruppi di Acquisto Solidale evita la riduzione dell'autonomia percepita dai quei produttori che non sono coinvolti con i Gruppi di Acquisto Solidale.
Within the Capability Approach, agency is one of the components that enable individuals to be empowered. When subjective measures are applied to the study of agency, the problem of ‘adaptive preferences’ arises. The aim of this thesis is to test a methodology that captures the individual perception of agency, while taking into account the bias coming from adaptive preferences. We rely on the Relative Autonomy Index to capture the individual’s agency in several dimensions. In addition, in order to increase the comparability between the individual’s perceptions, we employ the Anchoring Vignette methodology. We investigate whether our methodology reduces the individual incomparability through a pilot study. The results of this preliminary exercises show that our methodology is able to capture dissimilarities in response behaviours. Through a second data collection, we apply our methodology in order to investigate the impact that the commercial relationship between Solidarity Purchasing Group and Italian producers has on the latter. Our findings suggest that the involvement in the Solidarity Purchasing Group has a mainly positive impact on producers’ level of autonomy, which remains at lower levels for producers that did not develop a relationship with the Solidarity Purchasing Group.
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GIROLETTI, TOA. "MEASURING AUTONOMY THROUGH A SUBJECTIVE EVALUATION." Doctoral thesis, Università Cattolica del Sacro Cuore, 2017. http://hdl.handle.net/10280/18563.

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All’interno del quadro teorico del Capability Approach ‘agency’ viene definito come ciò che permette agli individui di raggiungere i propri obiettivi. Quando il concetto di ‘agency’ viene studiato attraverso misure soggettive, insorge il problema delle preferenze adattive. Lo scopo di questa Tesi è di testare una metodologia che possa catturare la percezione individuale di ‘agency’ nelle diverse dimensioni che compongono la nostra vita, limitando i problemi di misurazione dovuti delle preferenze adattive. Per questo fine, ci affidiamo al ‘Relative Autonomy Index’. Inoltre, utilizziamo la metodologia di ‘Achoring Vignette’ per aumentare la comparabilità tra le percezioni dei singoli individui. Nella prima parte, indaghiamo se il nostro metodo effettivamente riduce l’incomparabilità individuale attraverso uno studio pilota. I risultati dimostrano come il nostro metodo sia in grado di catturare differenze nel comportamento di risposta. Nella seconda parte, sulla base di una seconda raccolta di dati, applichiamo la nostra metodologia al fine di indagare l'impatto dei Gruppi di Acquisto Solidale sul livello di autonomia di un gruppo di produttori italiani. I nostri risultati indicano che il coinvolgimento con i Gruppi di Acquisto Solidale evita la riduzione dell'autonomia percepita dai quei produttori che non sono coinvolti con i Gruppi di Acquisto Solidale.
Within the Capability Approach, agency is one of the components that enable individuals to be empowered. When subjective measures are applied to the study of agency, the problem of ‘adaptive preferences’ arises. The aim of this thesis is to test a methodology that captures the individual perception of agency, while taking into account the bias coming from adaptive preferences. We rely on the Relative Autonomy Index to capture the individual’s agency in several dimensions. In addition, in order to increase the comparability between the individual’s perceptions, we employ the Anchoring Vignette methodology. We investigate whether our methodology reduces the individual incomparability through a pilot study. The results of this preliminary exercises show that our methodology is able to capture dissimilarities in response behaviours. Through a second data collection, we apply our methodology in order to investigate the impact that the commercial relationship between Solidarity Purchasing Group and Italian producers has on the latter. Our findings suggest that the involvement in the Solidarity Purchasing Group has a mainly positive impact on producers’ level of autonomy, which remains at lower levels for producers that did not develop a relationship with the Solidarity Purchasing Group.
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Hernandez, Cedillo Maria Fernanda. "Exploring possible effects that diversity of preferences for the future within communities could have for adaptive co-management : Case study of a community of farmers in Bali, Indonesia." Thesis, Stockholm University, Stockholm Resilience Centre, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-42944.

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Adaptive co-management (ACM) has downplayed the role that diversity withincommunities could play in management schemes. It has understood communities asgroups of persons with similar interests. This thesis attempts to explore some of theconsequences that diversity of preferences of the future over social-ecologicaltrajectories within communities could have on adaptive co-management processes.The relevance of understanding this lies in the urgency of finding solutions thatpromote better resource and environmental management aimed at sustainability. Thefollowing work uses scenarios as a way to explore the effects that diversity ofpreferences within communities might have on ACM processes.

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Hill, Ryan Tebbutt. "Adaptive interfaces for mobile preference-based searching." Thesis, Nelson Mandela Metropolitan University, 2009. http://hdl.handle.net/10948/1248.

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Today's mobile computing devices provide a convenient means to search for points-of-interest (POIs) such as restaurants and accommodation. Mobile Preference-Based Search Tools (PBSTs) allow users to identify POIs such as restaurants or accommodation most suited to their needs and constraints using a mobile device. These devices however, have several design constraints including limited screen space and hardware capabilities. Adaptive User Interfaces (AUIs) have been proposed to address these issues but have not been extensively applied to mobile PBSTs such as mobile tourist guides. In addition, AUIs possess several benefits and advantages over static (traditional) interfaces, which do not take a user's preferences, skill set and experience into account. Little research, however, has been conducted into identifying the potential benefits of AUIs for mobile preference-based searching (PBS). The aim of this research was to determine the extent to which an AUI could improve the effectiveness and user satisfaction of mobile PBS. A literature study was conducted to determine the benefits and limitations of existing mobile PBSTs and determine how these could be improved. The potential benefits of AUIs for mobile PBSTs and a mobile map-based visualisation system were identified. A suitable model for incorporating an AUI into a mobile PBST was identified. The requirements for a mobile PBST were combined with the potentially adaptable objects of a Mobile Map-based Visualisation (MMV) system to provide adaptation suggestions for POInter, an existing mobile tourist guide. A field study using POInter was conducted in order to measure the extent to which participants agreed with suggestions provided for adapting the information, interaction and visualisation aspects of the system. These results were used to derive adaptation requirements for A-POInter, an adaptive version of POInter. Using a model-based design approach, an AUI was designed and implemented for A-POInter. An extensive field study was then conducted to evaluate the usability of the adaptations provided by A-POInter. The quantitative and qualitative data collected from the evaluations allowed the usability of A-POInter to be determined. The results of the field study showed that the participants were highly satisfied with the usability and the usefulness of the adaptations provided by A-POInter. Conclusions and recommendations for future work based on the results of the research were then outlined to conclude the dissertation.
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Karavolas, Kryssa. "Adaptive Preference Formation & Autonomy: Moving towards Respect." Thesis, Department of Philosophy, 2017. http://hdl.handle.net/2123/18834.

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First lines of the Introduction (as abstract not provided): This thesis seeks to primarily answer the following question: are adapted preferences autonomous? In pursuing the answer of this question, I am unsurprisingly faced with two importantly related queries: firstly, what actually is adaptive preference formation? And secondly, what kind of theory of autonomy is correct and why? In the spirit of question answering, the first chapter of this thesis seeks to provide a more robust account of adaptive preference formation (herein APF), a theory which states that the preferences held by an agent can be subconsciously causally produced by the restriction of options. Through an examination of Jon Elster’s original account of the concept, and a consideration of Amartya Sen and Martha Nussbaum’s contemporary interpretations of Elster’s account, I intend to flesh out the mechanics of APF, considering the necessary and sufficient conditions for APF. This section aims to solidify the descriptive literature of APF, with a focus on differentiating the process from other similar concepts such as character planning and internalised oppression (herein IO). Ultimately, I conclude with a variation of Elster’s account and produce my own examples of agents who hold adapted preferences (herein AP).
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Pappalardo, Lorenzo Antonio. "Dynamic Adaptive Streaming over HTTP: presentazione e analisi dell'algortimo "Preference"." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16142/.

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Oramai, al giorno d'oggi la gente si connette ad Internet attraverso una moltitudine di Smart device differenti. La riproduzione di materiale video multimediale è l'attività maggiormente richiesta durante la navigazione in Internet. Essa sfrutta gran parte della larghezza di banda della rete a disposizione, con una tendenza che molto probabilmente nel futuro non farà altro che aumentare. Per contrastare la variabilità delle risorse di internet, gli algoritmi di rate adaptation vengono usati per adattare la velocità di trasmissione alle capacità del network. In questo elaborato andremo a presentare un nuovo algoritmo di rate adaptation per l'adaptive HTTP streaming che vuole dare la possibilità all'utente di avere una riproduzione fluida, caratterizzata dal minore numero di pause, ma che allo stesso tempo sia in grado di garantire una alta qualità della riproduzione del materiale multimediale. Dopo una analisi iniziale dell'algoritmo andremo ad analizzare i benefici della nostra proposta in termini di qualità di riproduzione, numero di pause, tempo di pause, ecc.., rispetto ad altri algoritmi di rate adaptation. I nostri risultati dimostrano come l'algoritmo, adattandosi dinamicamente allo stato della connessione riesca a mantenere un basso numero di pause mentre aumenta la qualità dello streaming.
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Books on the topic "Adaptive preferences"

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Adaptive preferences and women's empowerment. Oxford: Oxford University Press, 2011.

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Räikkä, Juha, and Jukka Varelius, eds. Adaptation and Autonomy: Adaptive Preferences in Enhancing and Ending Life. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38376-2.

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Dear, Richard De. Developing an adaptive model of thermal comfort and preference. Sydney: Macquarie University, 1997.

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Darwin's brands: Adapting to succeed. Thausand Oaks, Calif: Response Books, 2011.

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Khader, Serene J. Adaptive Preferences and Women's Empowerment. Oxford University Press, Incorporated, 2011.

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Khader, Serene J. Adaptive Preferences and Women's Empowerment. Oxford University Press, 2012.

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Räikkä, Juha, and Jukka Varelius. Adaptation and Autonomy: Adaptive Preferences in Enhancing and Ending Life. Springer, 2015.

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Räikkä, Juha, and Jukka Varelius. Adaptation and Autonomy: Adaptive Preferences in Enhancing and Ending Life. Springer, 2013.

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Räikkä, Juha, and Jukka Varelius. Adaptation and Autonomy: Adaptive Preferences in Enhancing and Ending Life. Springer London, Limited, 2013.

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Dinga, Emil. Financial Market Analysis and Behaviour: The Adaptive Preference Hypothesis. Routledge, 2022.

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Book chapters on the topic "Adaptive preferences"

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Chatterjee, Deen K. "Adaptive Preferences." In Encyclopedia of Global Justice, 2. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-1-4020-9160-5_1001.

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Khader, Serene J. "Adaptive preferences." In Routledge Handbook of Development Ethics, 93–100. Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315626796-11.

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Räikkä, Juha. "Adaptive Preferences and Self-Deception." In Studies in Applied Philosophy, Epistemology and Rational Ethics, 137–54. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04633-4_11.

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Räikkä, Juha. "Adaptive Preferences and Self-Deception." In Adaptation and Autonomy: Adaptive Preferences in Enhancing and Ending Life, 149–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38376-2_10.

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Terlazzo, Rosa. "Adaptive Preferences as Autonomy Deficits." In The Routledge Handbook of Autonomy, 270–80. London: Routledge, 2022. http://dx.doi.org/10.4324/9780429290411-28.

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Grüne-Yanoff, Till, and Sven Ove Hansson. "Procedural Exclusion Criteria for Adaptive Preferences." In Adaptation and Autonomy: Adaptive Preferences in Enhancing and Ending Life, 167–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38376-2_11.

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Bruckner, Donald W. "Adaptive Preferences, Autonomy, and Extended Lives." In Adaptation and Autonomy: Adaptive Preferences in Enhancing and Ending Life, 7–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38376-2_2.

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Taylor, James Stacey. "Self-Deception, Adaptive Preferences, and Autonomy." In Adaptation and Autonomy: Adaptive Preferences in Enhancing and Ending Life, 137–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38376-2_9.

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Hensinger, Elena, Ilias Flaounas, and Nello Cristianini. "Learning Readers’ News Preferences with Support Vector Machines." In Adaptive and Natural Computing Algorithms, 322–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20267-4_34.

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Naji, Khadija, and Abdelali Ibriz. "Adaptive MOOC Supports the Elicitation of Learners’ Preferences." In Advances in Intelligent Systems and Computing, 68–73. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36653-7_6.

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Conference papers on the topic "Adaptive preferences"

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Benabbou, Nawal, and Patrice Perny. "Adaptive Elicitation of Preferences under Uncertainty in Sequential Decision Making Problems." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/637.

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This paper aims to introduce an adaptive preference elicitation method for interactive decision support in sequential decision problems. The Decision Maker's preferences are assumed to be representable by an additive utility, initially unknown or imperfectly known. We first study the determination of possibly optimal policies when admissible utilities are imprecisely defined by some linear constraints derived from observed preferences. Then, we introduce a new approach interleaving elicitation of utilities and backward induction to incrementally determine an optimal or near-optimal policy. We propose an interactive algorithm with performance guarantees and describe numerical experiments demonstrating the practical efficiency of our approach.
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Deshpande, Sachin. "Viewer preferences for adaptive playout." In IS&T/SPIE Electronic Imaging, edited by Bernice E. Rogowitz, Thrasyvoulos N. Pappas, and Huib de Ridder. SPIE, 2013. http://dx.doi.org/10.1117/12.2008513.

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Weber, Julie S., and Martha E. Pollack. "Evaluating user preferences for adaptive reminding." In Proceeding of the twenty-sixth annual CHI conference extended abstracts. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1358628.1358789.

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Mencar, Corrado, Maria A. Torsello, Danilo Dell'Agnello, Giovanna Castellano, and Ciro Castiello. "Modeling User Preferences through Adaptive Fuzzy Profiles." In 2009 Ninth International Conference on Intelligent Systems Design and Applications. IEEE, 2009. http://dx.doi.org/10.1109/isda.2009.67.

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Odonkor, Philip, and Kemper Lewis. "Adaptive Operation Decisions in Net Zero Building Clusters." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47290.

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In light of the growing strain on the energy grid and the increased awareness of the significant role buildings play within the energy ecosystem, the need for building operational strategies which minimize energy consumption has never been greater. One of the major hurdles impeding this realization primarily lies not in the lack of decision strategies, but in their inherent lack of adaptability. With most operational strategies partly dictated by a dynamic trio of social, economic and environmental factors which include occupant preference, energy price and weather conditions, it is important to realize and capitalize on this dynamism to open up new avenues for energy savings. This paper extends this idea by developing a dynamic optimization mechanism for Net-zero building clusters. A bi-level operation framework is presented to study the energy tradeoffs resulting from the adaptive measures adopted in response to hourly variations in energy price, energy consumption and indoor occupant comfort preferences. The experimental results verify the need for adaptive decision frameworks and demonstrate, through Pareto analysis, that the approach is capable of exploiting the energy saving opportunities made available through fluctuations in energy price and occupant comfort preferences.
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Yu, Zeping, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, and Xing Xie. "Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/585.

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User modeling is an essential task for online recommender systems. In the past few decades, collaborative filtering (CF) techniques have been well studied to model users' long term preferences. Recently, recurrent neural networks (RNN) have shown a great advantage in modeling users' short term preference. A natural way to improve the recommender is to combine both long-term and short-term modeling. Previous approaches neglect the importance of dynamically integrating these two user modeling paradigms. Moreover, users' behaviors are much more complex than sentences in language modeling or images in visual computing, thus the classical structures of RNN such as Long Short-Term Memory (LSTM) need to be upgraded for better user modeling. In this paper, we improve the traditional RNN structure by proposing a time-aware controller and a content-aware controller, so that contextual information can be well considered to control the state transition. We further propose an attention-based framework to combine users' long-term and short-term preferences, thus users' representation can be generated adaptively according to the specific context. We conduct extensive experiments on both public and industrial datasets. The results demonstrate that our proposed method outperforms several state-of-art methods consistently.
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Gorman, Benjamin M., Michael Crabb, and Michael Armstrong. "Adaptive Subtitles: Preferences and Trade-Offs in Real-Time Media Adaption." In CHI '21: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3411764.3445509.

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Soflano, Mario, and Thomas Connolly. "Customisation and Preferences in Adaptive Game-based Learning." In Annual International Conferences on Computer Games, Multimedia and Allied Technology. Global Science & Technology Forum (GSTF), 2010. http://dx.doi.org/10.5176/978-981-08-5480-5_078.

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Ripin, Faizal Hazri Mat, Rahmah Mokhtar, and Wahidah Mohd Zain. "Adaptive Tutoring System User Preferences: Does Gender Matter?" In 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M). IEEE, 2016. http://dx.doi.org/10.1109/ict4m.2016.018.

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Matsubara, Takamitsu, Shizuko Matsuzoe, and Masatsugu Kidode. "Adaptive choreography for user's preferences on personal robots." In 2012 RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 2012. http://dx.doi.org/10.1109/roman.2012.6343885.

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Reports on the topic "Adaptive preferences"

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Kawai, Mayumi, Shin Kato, Naoko Minobe, and Sadayuki Tsugawa. Driver-Adaptive Display for Car Navigation Systems Based on Individual Driver Differences in Route Recognition and Map Preference. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0457.

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