標(biāo)題: Titlebook: Emotions and Personality in Personalized Services; Models, Evaluation a Marko Tkal?i?,Berardina De Carolis,Andrej Ko?ir Book 2016 Springer [打印本頁] 作者: Clientele 時(shí)間: 2025-3-21 16:43
書目名稱Emotions and Personality in Personalized Services影響因子(影響力)
書目名稱Emotions and Personality in Personalized Services影響因子(影響力)學(xué)科排名
書目名稱Emotions and Personality in Personalized Services網(wǎng)絡(luò)公開度
書目名稱Emotions and Personality in Personalized Services網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Emotions and Personality in Personalized Services被引頻次
書目名稱Emotions and Personality in Personalized Services被引頻次學(xué)科排名
書目名稱Emotions and Personality in Personalized Services年度引用
書目名稱Emotions and Personality in Personalized Services年度引用學(xué)科排名
書目名稱Emotions and Personality in Personalized Services讀者反饋
書目名稱Emotions and Personality in Personalized Services讀者反饋學(xué)科排名
作者: 藕床生厭倦 時(shí)間: 2025-3-21 21:21 作者: ENACT 時(shí)間: 2025-3-22 03:28
Social Emotions. A Challenge for Sentiment Analysis and User Modelstions. Special attention is devoted to a socio-cognitive model of emotions in terms of goals and beliefs, focusing on social emotions, both related to image (admiration, bitterness, enthusiasm) and to self-image (pride, shame). Nature, function, and typical body signals of these emotions are overviewed.作者: jagged 時(shí)間: 2025-3-22 04:34
Acquisition of Personalityly infer personality. For each data source, we discuss the methods of extracting the cues used to detect personality, as well as the major findings. Lastly, we refer some limitations of the current research which is relevant for the advancement of the state of the art.作者: 貧困 時(shí)間: 2025-3-22 10:05 作者: thalamus 時(shí)間: 2025-3-22 14:26
Hans Georg Wolpers,Markus Schwaiger M.D.extual sources, and entail going beyond classic text-based opinion mining techniques. We show, for example, that social streams may use vocabularies and expressions that exist outside the mainstream of standard, formal languages, and may reflect complex dynamics in the opinions and sentiments expressed by individuals and communities.作者: thalamus 時(shí)間: 2025-3-22 20:23 作者: 殘廢的火焰 時(shí)間: 2025-3-22 23:38
Pathophysiology of Plasma Protein Metabolismion with virtual agents, social robots, and other conversational systems, this chapter proposes a probabilistic framework that models the dynamics of interpersonal cues reflecting the user’s social attitude within the context they occur.作者: follicle 時(shí)間: 2025-3-23 04:04 作者: ADORE 時(shí)間: 2025-3-23 08:36
Book 2016y developments that are shaping our daily online experiences. With advances in the detection of end users’ emotions, personality, sentiment and social signals, researchers and practitioners now have the tools to build a new generation of personalized systems that will really understand the user’s st作者: Gentry 時(shí)間: 2025-3-23 10:36 作者: 你不公正 時(shí)間: 2025-3-23 13:58
Margaret G. Gall,Mark D. Gorrelltions. Special attention is devoted to a socio-cognitive model of emotions in terms of goals and beliefs, focusing on social emotions, both related to image (admiration, bitterness, enthusiasm) and to self-image (pride, shame). Nature, function, and typical body signals of these emotions are overviewed.作者: duplicate 時(shí)間: 2025-3-23 21:11 作者: ventilate 時(shí)間: 2025-3-24 00:38
https://doi.org/10.1007/978-3-319-15961-4, machine-detectable evidence of social phenomena such as empathy, conflict, interest, attitudes, dominance, etc. Therefore, machines that can automatically detect, interpret and synthesize social signals will be capable to make sense of the social landscape they are part of while, possibly, participating in it as full social actors.作者: 馬具 時(shí)間: 2025-3-24 05:38 作者: 付出 時(shí)間: 2025-3-24 09:18
Housing and Urban Conditions in Brazilng emotional features for recommendation purposes, incorporating such features into recommendation algorithms. We conclude with a sample evaluation, showing the utility of emotion in recommendation generation.作者: neurologist 時(shí)間: 2025-3-24 11:17 作者: faddish 時(shí)間: 2025-3-24 16:11 作者: Hemiparesis 時(shí)間: 2025-3-24 22:58 作者: 密碼 時(shí)間: 2025-3-24 23:44 作者: MILK 時(shí)間: 2025-3-25 06:49 作者: 小卒 時(shí)間: 2025-3-25 08:18 作者: 火車車輪 時(shí)間: 2025-3-25 12:57 作者: 自作多情 時(shí)間: 2025-3-25 18:32 作者: defibrillator 時(shí)間: 2025-3-25 22:44 作者: CLASH 時(shí)間: 2025-3-26 02:29
Emotions and Personality in Personalized Services978-3-319-31413-6Series ISSN 1571-5035 Series E-ISSN 2524-4477 作者: 高爾夫 時(shí)間: 2025-3-26 04:19
Marko Tkal?i?,Berardina De Carolis,Andrej Ko?irBridges personalization algorithms, such as recommender systems, with psychologically motivated user-centric concepts, such as emotions and personality.Translates psychological theories of emotions an作者: Noctambulant 時(shí)間: 2025-3-26 10:22
Human–Computer Interaction Serieshttp://image.papertrans.cn/e/image/308747.jpg作者: Tidious 時(shí)間: 2025-3-26 15:22 作者: Bumptious 時(shí)間: 2025-3-26 18:40
Acquisition of Affectiscrete and continuous. Its main content covers a survey of existing computational models and tools (i.e. off-the-shelf solutions), before looking at future efforts needed covering the current trends and the open issues.作者: 壓艙物 時(shí)間: 2025-3-26 22:43 作者: Misgiving 時(shí)間: 2025-3-27 02:02
Margaret G. Gall,Mark D. Gorrellin this regard are the dimensional models in which the body side is crucial, and the cognitive ones in which the evaluation processes give rise to emotions. Special attention is devoted to a socio-cognitive model of emotions in terms of goals and beliefs, focusing on social emotions, both related to作者: 鞭打 時(shí)間: 2025-3-27 06:04 作者: neurologist 時(shí)間: 2025-3-27 11:31
W. A. Scheitlin,A. A. Buehlmanniscrete and continuous. Its main content covers a survey of existing computational models and tools (i.e. off-the-shelf solutions), before looking at future efforts needed covering the current trends and the open issues.作者: kidney 時(shí)間: 2025-3-27 14:11 作者: blithe 時(shí)間: 2025-3-27 19:19
https://doi.org/10.1007/978-3-319-15961-4ions. The core idea of the field is that common nonverbal behavioural cues—facial expressions, vocalizations, gestures, postures, etc—are the physical, machine-detectable evidence of social phenomena such as empathy, conflict, interest, attitudes, dominance, etc. Therefore, machines that can automat作者: maladorit 時(shí)間: 2025-3-28 01:04
Hans Georg Wolpers,Markus Schwaiger M.D.ial networks, aiming to clarify how user opinions, affective states, and intended emotional effects are extracted from user generated content, how they are modeled, and how they could be finally exploited. We explain why sentiment analysis tasks are more difficult for social streams than for other t作者: Metamorphosis 時(shí)間: 2025-3-28 05:20
https://doi.org/10.1007/978-4-431-55354-0ally valid and timely assessments of a person’s psychological state. This, in turn, opens up new opportunities for understanding behaviour at a scale and granularity that was not possible just a few years ago. The practical applications are many, such as the delivery of personalised and agile behavi作者: 大看臺(tái) 時(shí)間: 2025-3-28 10:13
Lj. Raki?,R. Mileusni?,Lj. Roga?,R. Veskovook. We briefly describe the available data, acquisition procedure, and other relevant details of these datasets. There are three datasets acquired through the users’ natural interaction with different services: LDOS CoMoDa, LJ2M and myPersonality. Two datasets were acquired in controlled, laborator作者: Diskectomy 時(shí)間: 2025-3-28 13:54
Pathophysiology of Plasma Protein Metabolismrsation with agent-based systems has been improved in the recent years, e.g., by better speech recognition algorithms, they still lack the ability to understand nonverbal behavior and conversation dynamics—a key part of human natural interaction. To make a step towards intuitive and natural interact作者: neuron 時(shí)間: 2025-3-28 15:48
, and , regulation of albumin synthesis,y explored the possibility of realizing personalized diversity in recommender systems by taking into account the individual user’s spontaneous needs. In this chapter, we emphasize the effect of users’ personality on their needs for recommendation diversity. We start with a review of the two branches作者: 前兆 時(shí)間: 2025-3-28 20:46 作者: Deadpan 時(shí)間: 2025-3-29 01:27 作者: landmark 時(shí)間: 2025-3-29 03:33 作者: onlooker 時(shí)間: 2025-3-29 09:29
Housing and Urban Conditions in Brazil important subclass of recommender systems that take into account the context in which an item will be consumed or experienced. In context-aware recommendation research, a number of contextual features have been identified as important in different recommendation applications: such as . in the movie作者: diskitis 時(shí)間: 2025-3-29 14:15
Silvester Popescu-Willigmann,Britta Thege(MIR) and the advantages that research on emotional processing and interaction between multiple modalities brings to the understanding of music and its users. Analyses of results show that correlations between emotions, colors and music are largely determined by context. There are differences betwee作者: CRASS 時(shí)間: 2025-3-29 18:39 作者: 否認(rèn) 時(shí)間: 2025-3-29 22:30
Introduction to Emotions and Personality in Personalized Systemsthe appropriate content for the user and the situation. Recently, new types of user models started to emerge, which take into account more user-centric information, such as emotions and personality. Initially, these models were conceptually interesting but of little practical value as emotions and p作者: Hyperopia 時(shí)間: 2025-3-29 23:56
Social Emotions. A Challenge for Sentiment Analysis and User Modelsin this regard are the dimensional models in which the body side is crucial, and the cognitive ones in which the evaluation processes give rise to emotions. Special attention is devoted to a socio-cognitive model of emotions in terms of goals and beliefs, focusing on social emotions, both related to作者: 雄辯 時(shí)間: 2025-3-30 04:40 作者: PANT 時(shí)間: 2025-3-30 08:37
Acquisition of Affectiscrete and continuous. Its main content covers a survey of existing computational models and tools (i.e. off-the-shelf solutions), before looking at future efforts needed covering the current trends and the open issues.作者: Obedient 時(shí)間: 2025-3-30 14:27 作者: Outspoken 時(shí)間: 2025-3-30 17:23 作者: expdient 時(shí)間: 2025-3-31 00:10 作者: 過份 時(shí)間: 2025-3-31 02:14
Mobile-Based Experience Sampling for Behaviour Researchally valid and timely assessments of a person’s psychological state. This, in turn, opens up new opportunities for understanding behaviour at a scale and granularity that was not possible just a few years ago. The practical applications are many, such as the delivery of personalised and agile behavi
