Recommender Dialog Systems 2014


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100 Best Recommender System Videos | Conversational Recommender Systems | Recommender Dialog Systems 2013 | Recommender Dialog Systems 2015


Adapting to personality over time: Examining the effectiveness of dialogue policy progressions in task-oriented interaction AK Vail, KE Boyer – Proceedings of the 15th Annual SIGDIAL …, 2014 – anthology.aclweb.org … been widely implemented in a number of studies of personality in dialogue sys- tems, including recommender systems (Dunn et al., 2009) and conversational systems (Mairesse and Walker, 2010). The investigation of person- ality as it pertains to tutorial dialogue systems is a … Cited by 8 Related articles All 9 versions

Developer profiles for recommendation systems ATT Ying, MP Robillard – Recommendation Systems in Software …, 2014 – Springer … For example, Netflix’s personalized movie recommender is responsible for as much as 60% of its movie rentals [ 40 ]; Google search … the delivery of the content have found success in domains such as intelligent tutoring systems [ 47 ], natural language dialog systems [ 51 ], and … Cited by 4 Related articles All 4 versions

Cluster-based Prediction of User Ratings for Stylistic Surface Realisation N Dethlefs, H Cuayáhuitl, H Hastie, V Rieser… – EACL …, 2014 – anthology.aclweb.org … aim to address the high degree of variability that is often encountered in subjective rating studies, such as assessments of recommender systems (O … Fu- ture work involves integrating the surface realiser into the PARLANCE1 (Hastie et al., 2013) spo- ken dialogue system with a … Cited by 5 Related articles All 11 versions

Natural language generation as incremental planning under uncertainty: Adaptive information presentation for statistical dialogue systems V Rieser, O Lemon, S Keizer – Audio, Speech, and Language …, 2014 – ieeexplore.ieee.org … Planning Under Uncertainty: Adaptive Information Presentation for Statistical Dialogue Systems Verena Rieser, Oliver Lemon, and Simon Keizer … In a spoken dialogue system (SDS), an abstract communicative goal (CG) can be generated in many different ways. … Cited by 2 Related articles All 7 versions

R-cube: a dialogue agent for Restaurant Recommendation and Reservation S Kim, RE Banchs – Asia-Pacific Signal and Information …, 2014 – ieeexplore.ieee.org … Singapore. E-mail: {Nims,rembanchs}@i2r.a-star.edu.sg Abstract — This paper describes a hybrid dialogue system for restaurant recommendation and reservation. The … adopted. Figure 1. Multi-strategy Dialogue System Architecture The … Cited by 2 Related articles All 2 versions

A dialogue game for recommendation with adaptive preference models W Ouerdanea, C Labreucheb, N Maudetc, S Parsonsd – 2014 – lgi.ecp.fr … Take for instance recommender systems used in commercial websites: the role of the DA is to recommend items that the DM is likely to buy (travel, books, etc.). Often the product space is extremely large, and the role of the DA is to help to navigate in this catalogue. … Cited by 2 Related articles

Proactivity in Spoken Dialog Systems H Hofmann, U Ehrlich, A Berton – on Interacting with Smart Objects – researchgate.net Page 7. Proactivity in Spoken Dialog Systems Hansjörg Hofmann, Ute Ehrlich, André Berton Daimler AG Ulm, Germany 1hansjoerg. … However, until today, no precise definition of proactive behavior in spoken dialog systems (SDSs) and its influencing factors has been made. … Related articles All 2 versions

Adaptive Dialogue Systems For Assistive Living Environments A Papangelis – 2014 – uta-ir.tdl.org … 9 1.2 Recent Advances in Adaptive Dialogue Systems . . . . . 10 1.2.1 Adaptive Dialogue Systems . . . . . … 63 2.5 Recommender System for Assistive Living Environments . . . . . 65 2.5.1 Introduction to Recommender Systems . . . . . … Related articles All 2 versions

An empirical evaluation of an IR-based strategy for chat-oriented dialogue systems RE Banchs, S Kim – Asia-Pacific Signal and Information …, 2014 – ieeexplore.ieee.org … Developing Non-goal Dialog System Based on Examples of Drama Television, in Joseph Mariani, Sophie Rosset, Martine E Garnier-Rizet, Laurence E Devillers (eds), Natural Interaction with Robots, Knowbots and … An On- line Evaluation FrameworN for Recommender Systems … Related articles All 2 versions

Getting to Know Users: Accounting for the Variability in User Ratings N Dethlefs, H Cuayáhuitl, H Hastie, V Rieser, O Lemon – macs.hw.ac.uk … 2014. Adaptive generation in dialogue systems using dynamic user modeling. Computational Linguistics. (in press). … 2006. Detecting Noise in Recommender System Databases. In Proceedings of the Inter- national Conference on Intelligent User Interfaces (IUI)s. ACM Press. … Related articles All 3 versions

Towards a user experience design framework for adaptive spoken dialogue in automotive contexts P Wärnestål, F Kronlid – Proceedings of the 19th international conference …, 2014 – dl.acm.org … Making recommendations better: an analytic model for human- recommender interaction. … 20. Larsson, S., L. Santamarta, and A. Jönsson, Using the process of distilling dialogues to understand dialogue systems, in 6th International Conference on Spoken Language Processing … Related articles All 2 versions

Modeling the user state for context-aware spoken interaction in ambient assisted living D Griol, JM Molina, Z Callejas – Applied intelligence, 2014 – Springer … Felfernig A, Friedrich G, Isak K, Shchekotykhin K, Teppan E, Jannach D (2009) Automated debugging of recommender user interface descriptions. J Appl Intell 31:1–14; Filisko E, Seneff S (2005) Developing city name acquisition strategies in spoken dialogue systems via user … Cited by 4 Related articles All 5 versions

Text Mining Practical: Project Ideas B QasemiZadeh, S Handschuh – atmykitchen.info … The output of these algorithms therefore can be used in trending applications such as personalisation, in recommender systems and … The research in natural language dialogue systems aims to develop methods and models that can understand and generate linguistic …

Affective recommendation system for tourists by using Emotion Generating Calculations T Ichimura, I Tachibana – Computational Intelligence and …, 2014 – ieeexplore.ieee.org … Especially, the voice recognition function is the outstanding application to spread the capability of mobile phone, because the current dialog system requires the user’s typing. For example, the concierge system uses voice recognition function. … Related articles All 2 versions

CLARA: a multifunctional virtual agent for conference support and touristic information LF D’Haro, S Kim, KH Yeo, R Jiang, AI Niculescu… – researchgate.net … system can be prob- ably due to the presence of the built-in search capabilities offered by the app, the recommender mechanism which … Biomedical Informatics, 2006 Oct;39(5):482-99 [2] Maragoudakis, M. MeteoBayes: Effective plan recognition in a weather dialogue system. … Cited by 2 Related articles All 4 versions

Contextual Bandit for Active Learning: Active Thompson Sampling D Bouneffouf, R Laroche, T Urvoy, R Féraud… – Neural Information …, 2014 – Springer … The unannotated part consists of 3 911 695 utterances. We use a corporate supervised algorithm (rule-based algorithm), being a part of a spoken language dialogue system. … 127–135 (2013) [2] Bouneffouf, D.: DRARS, A Dynamic Risk-Aware Recommender System. … Cited by 2 Related articles All 16 versions

Graphical Toolkits for Rapid Prototyping of Multimodal Systems: A Survey F Cuenca, K Coninx, D Vanacken… – Interacting with …, 2014 – iwc.oxfordjournals.org … The system may also need information that is particular to its application domain, eg when a multimodal restaurant recommender system (Rajman et al., 2004) consults a database to retrieve information of the names, addresses and telephone numbers of a series of restaurants. … Cited by 2 Related articles

Interlocutor personality perception based on BFI profiles and coupled HMMs in a dyadic conversation MH Su, YT Zheng, CH Wu – Chinese Spoken Language …, 2014 – ieeexplore.ieee.org … of the psychological meaning such as emotion and personality trait is beneficial to provide harmonious communication between humans and computers [3] [4] [5]. In order to endow the spoken dialogue systems with flexible … 7th ACM conference on Recommender systems, 2013. … Related articles

Hybrid Artificial Intelligence Systems MPAC de Carvalho, JSPM Wozniak, HQE Corchado – Springer … 13 Petrica C. Pop, Levente Fuksz, and Andrei Horvat Marc A Framework to Develop Adaptive Multimodal Dialog Systems for Android-Based … 515 Alper Gün and P?nar Karagöz A Hybrid Recommender System Based on AHP That Awares Contexts with Bayesian Networks for …

[BOOK] Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings M Polycarpou, AC De Carvalho, JS Pan, M Wo?niak… – 2014 – books.google.com … Petrica C. Pop, Levente Fuksz, and Andrei Horvat Marc A Framework to Develop Adaptive Multimodal Dialog Systems for Android-Based Mobile … Alper Gün and P?nar Karagöz A Hybrid Recommender System Based on AHP That Awares Contexts with Bayesian Networks for … All 3 versions

Collaborative recommendation of ambient media services MA Hossain, A Alamri, MF Alhamid… – Multimedia and Expo …, 2014 – ieeexplore.ieee.org … [6] G. Adomavicius, R. Sankaranarayanan, S. Sen, and A. Tuzhilin, “Incorporating contextual information in recommender systems using a … 3–53. [12] R. Kass, “Student modeling in intelligent tutoring sys- temsimplications for user modeling,” in User models in dialog systems, pp. … Related articles All 2 versions

Mobile Student Modeling E Alepis, M Virvou – Object-Oriented User Interfaces for Personalized …, 2014 – Springer … Springer, Berlin, pp 19–30. Lampropoulos AS, Lampropoulou PS, Tsihrintzis GA (2011) A movie recommender system based on ensemble of transductive SVM classifiers. … In: Kobsa A, Wahlster W (eds) User models in dialog systems. … Related articles

Developing Domain Ontology for Nigerian History IT Afolabi, JO Daramola, T Adio – … of Basic and …, 2014 – eprints.covenantuniversity.edu.ng … We shall also develop specific software applications that will leverage the NHO in practical problem solving in areas such as news generation, automatic essay grading, E-learning, recommender systems, intelligent dialog systems, and more. …

Emotion Recognition in Real-world Conditions with Acoustic and Visual Features M Sidorov, W Minker – Proceedings of the 16th International Conference …, 2014 – dl.acm.org … Such opportunity can be useful in various applications, eg, im- provement of Spoken Dialogue Systems (SDSs) or monitor- ing agents in call … First, the sub- titles of the corresponding movie are extracted and parsed by the recommender system, which searched for emotion … Related articles All 2 versions

From NL Preference Expressions to Comparative Preference Statements: A Preliminary Study in Eliciting Preferences for Customised Decision Support S Kaci, N Patel, V Prince – Tools with Artificial Intelligence ( …, 2014 – ieeexplore.ieee.org … II. RELATED WORK Numerous preference web-based applications eg product search, recommender systems, personal assistant agents, and personalised user … It is aimed at creating a human-computer written dialogue system, containing short and to the point conversation … Cited by 1 Related articles All 3 versions

Texterra: A framework for text analysis DY Turdakov, NA Astrakhantsev, YR Nedumov… – … and Computer Software, 2014 – Springer … to increase the recall of information retrieval; • construction of faceted search interfaces; • creation of recommender systems based … to determine hidden demographic attributes [25]; • design of question answering systems, automatic summarization systems, dialog systems, etc. … Cited by 6 Related articles All 4 versions

Designing, Modeling and Evaluating Influence Strategies for Behavior Change Support Systems A Öörni, S Kelders, L van Gemert-Pijnen… – researchgate.net … User Tests and Expert Assessments, Proceedings of the Second International Workshop on Behavior Change Support Systems (BCSS2014), Padova, Italy, May 22 (2014) 7. Gkika, S., Lekakos, G.: The persuasive role of Explanations in Recommender Systems, Proceedings of … Related articles All 2 versions

Modeling collective emotions in online social systems D Garcia, A Garas, F Schweitzer – Collective Emotions, 2014 – books.google.com … 2012). Future applications aim at applying our framework to other types of online communication, such as forum dis- cussions, open source communities, and dialog systems (Rank, Skowron & Garcia, 2013). Acknowledgments … Cited by 1 Related articles All 5 versions

Improving smart conference participation through socially aware recommendation N Yaw Asabere, F Xia, W Wang… – Human-Machine …, 2014 – ieeexplore.ieee.org … In our experiments, we compare SARVE with two related state-of- the-art methods, namely context-aware mobile recommendation services and conference navigator (recommender) model. … TABLE I CATEGORIES OF TRADITIONAL RECOMMENDER SYSTEMS … Cited by 7 Related articles All 3 versions

Learning Individual Behavior in an Educational Game: A Data-Driven Approach SJ Lee, YE Liu, Z Popovic – Educational Data Mining …, 2014 – educationaldatamining.org … and item difficulty. The learned factors can be used to pre- dict user performance on different items. Adapting matrix factorization techniques from recommender systems is also popular. Thai-Nghe et al. predicted personalized … Cited by 3 Related articles All 7 versions

Factors influencing quality of experience U Reiter, K Brunnström, K De Moor, MC Larabi… – Quality of …, 2014 – Springer … Authors in [54] use this finding and conclude that context information is an important element for a music selection recommender that suits the listener’s mood. … Returning to the music recommender example [54], factors like time of day and season were also considered. … Cited by 19 Related articles All 4 versions

Prototype of an Adaptive Decision Support System for Interactive Scheduling with MetaCognition and User Modeling Experience A Madureira, S Gomes, B Cunha… – … (NaBIC), 2014 Sixth …, 2014 – ieeexplore.ieee.org … The applications of learning systems and natural language dialogue systems have been evolving to a set of applications concerning personalization issues, including recommender systems, social computing, intelligent web search, personalized help systems, adaptive … Cited by 3 Related articles All 3 versions

[BOOK] PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2014, Gold Coast, QLD, Australia, … DN Pham, SB Park – 2014 – books.google.com … 383 Quan Sun and Bernhard Pfahringer Combining Career Progression and Profile Matching in a Job Recommender System … 849 Noriko Otani, Shoko Shirakawa, and Masayuki Numao Dialogue Management in Spoken Dialogue System with Visual Feedback … All 2 versions

Using personas for supporting user modeling on scheduling systems A Madureira, B Cunha, JP Pereira… – … Systems (HIS), 2014 …, 2014 – ieeexplore.ieee.org … The applications of learning systems and natural language dialogue systems have been evolving to a set of applications concerning Personalization issues, including recommender systems, social computing, intelligent web search, personalized help systems, adaptive … Cited by 1 Related articles All 14 versions

Enriching queries with user preferences in healthcare T Tegegne, TPT van der Weide – Information Processing & Management, 2014 – Elsevier … user may be explicitly processed by direct questioning, or implicitly through the observation of user actions/behavior, or through other recommender system approaches … In Section 3.1 we will discuss the dialogue system that forms the main man–machine interface for our system … Cited by 1 Related articles All 4 versions

Detecting and making use of emotions to enhance student motivation in e-learning environments P Rodriguez, A Ortigosa… – International Journal of …, 2014 – inderscienceonline.com … In this context, research on the influence of user’s affective state in education has played a key role (Craig et al., 2004). In Santos and Boticario (2012), the benefits of considering affective issues in educational recommender systems are discussed. … Cited by 5 Related articles All 2 versions

Core technologies for the internet of services T Becker, C Burghart, K Nazemi, P Ndjiki-Nya… – Towards the Internet of …, 2014 – Springer … A platform for multimodal and situation aware dialog systems has been created, whose architecture and some applications are described. … This eliminates the frequent transformation steps between modules that are typical for earlier dialog systems. … Cited by 3 Related articles All 3 versions

Ontology Supported Information Systems: A Review T Padmavathi, M Krishnamurthy – ocean.kisti.re.kr … recommender system for athletes (Suksom, 2010; Tumnark, 2013) may be considered as a guide for the development of ontologies for specific health problems/nutrition. 4.1. Cooking and Processed Food An ontology for the cooking domain, integrated within a dialog system, …

Towards Multimodal Adaptive User Interfaces Z Eichler – 2014 – is.muni.cz … proposed an approach to controlling adaptive behavior in recommender systems, which allows users to get an overview of … Another interesting multimodal adaptive user interface is SmartKom project [51], which is multimodal dialogue system that combines speech, gesture, and … Related articles All 2 versions

Indirect answers as potential solutions to decision problems JS Stevens, A Benz, S Reuße, R Laarmann-Quante… – pragsales.net … Also, Benz et al. (2011) suggest that recommender systems (such as a sales agent recommending objects to a customer) can exploit conceptual similarity, ie that such a system does better to suggest semantically related alternatives than simply to admit that the cus- tomer’s … Cited by 3 Related articles All 2 versions

Predicting Personality Traits using Multimodal Information F Alam, G Riccardi – Proceedings of the 2014 ACM Multi Media on …, 2014 – dl.acm.org … in different areas, such as virtual assistants, healthcare such as mood detection, de- tection of personality disorder, recommender systems such as … as text [5], speech [2] and facial expres- sions [4]. The domains include personality of the blogger [8], dialogue system, social media … Cited by 2 Related articles All 4 versions

[BOOK] Human-Computer Interaction K MEENA, R SIVAKUMAR – 2014 – books.google.com … Recent research activities demand attention in the areas of Usability Engineering, Spoken Dialogue System, Recommender System, Cognitive Architectures, Visualised Knowledge representations and Ambient Intelligence for developing methodologies and integrating … Cited by 1 Related articles

DCLA Meet CIDA: Collective Intelligence Deliberation Analytics SB Shum, A De Liddo, M Klein – 2nd International Workshop on …, 2014 – catalyst-fp7.eu Page 1. DCLA14 discussion paper: Buckingham Shum, De Liddo & Klein 1 Working Paper for discussion — 2nd International Workshop on Discourse-Centric Learning Analytics, LAK14: 4th International Conference on Learning … Cited by 1 Related articles

Tailoring real-time physical activity coaching systems: a literature survey and model H op den Akker, VM Jones, HJ Hermens – User modeling and user- …, 2014 – Springer … The authors found widespread use of dialog systems as active technology (19 out of 41 included studies), out of which eight employed … Instead, the user’s calculated heart rate thresholds and recorded previous experiences are used by the exercise recommender module. … Cited by 6 Related articles All 9 versions

Computational Hispanic Linguistics MA Martí, M Taulé – The Routledge Handbook of Hispanic …, 2014 – books.google.com … 26 Dialog system technology is already used in commercial applications, especially for telephone services, customer support services, and systems of … Recommender systems, the detection of user profiles, fraud, or deceitful behavior, and new techniques for detecting the age … Related articles

Towards the Automatic Recommendation of Musical Parameters based on Algorithm for Extraction of Linguistic Rules FC Espinoza, O López-Ortega… – Computación y …, 2014 – scielo.org.mx … creativity. Keywords. Recommender systems, knowledge discov ery, rules extraction, fractal music. 1 Introduction … listeners. This is an important step towards developing intelligent recommender systems. This paper is organized as follows. … Related articles All 10 versions

Factors Influencing Quality of Experience MP Larabi, A Pinheiro, J You… – Quality of Experience: …, 2014 – books.google.com … Returning to the music recommender example [54], factors like time of day and season were also considered. … In: Delgado RL-C, Kobayashi T (eds) Proceedings of the paralinguistic information and its integration in spoken dialogue systems workshop. … Related articles

Emoticon recommendation in microblog using affective trajectory model WB Liang, HC Wang, YA Chu… – Asia-Pacific Signal and …, 2014 – ieeexplore.ieee.org … ACM Conference on Recommender Systems, ser. RecSys’13. ACM, 2013, pp. 411–414. … 24, no. 9, pp. 1658–1670, Sep 2012. [9] W.-B. Liang, C.-H. Wu, and M.-H. Sheng, “Affective-cognitive dialogue act detection in an error-aware spoken dialogue system,” in Signal and … Related articles All 2 versions

User Modeling, Adaptation, and Personalization VDT Kuflik, DCF Ricci, PDGJ Houben – Springer … 5 edited books, topics she has written about include implicit learning, human-agent systems, mixed initiative dialogue systems, social aspects … 13 Marios Belk, Panagiotis Germanakos, Christos Fidas, and George Samaras The Magic Barrier of Recommender Systems–No Magic …

Effects of an Algorithm with a Recommendation Tree for Indirect Speech Acts T Ogawa, K Morita, M Fuketa, JI Aoe – International Journal of Computer …, 2014 – ijcte.org … [2] P. Lops, G. Marco, and S. Giovanni, “Content-based recommender systems: State of the art and trends,” in Recommender Systems Handbook, Springer US, 2011, pp. … His main research interests are natural language processing, dialog systems and communication robots. … Related articles All 2 versions

[BOOK] User Modeling, Adaptation and Personalization: 22nd International Conference, UMAP 2014, Aalborg, Denmark, July 7-11, 2014. Proceedings V Dimitrova, T Kuflik, D Chin, F Ricci, P Dolog… – 2014 – books.google.com … 5 edited books, topics she has written about include implicit learning, human-agent systems, mixed initiative dialogue systems, social aspects … 13 Marios Belk, Panagiotis Germanakos, Christos Fidas, and George Samaras The Magic Barrier of Recommender Systems–No Magic … All 3 versions

Exploring the Relationship between Customer Reviews and Prices B Man, L Gong, L Zhang – cs.virginia.edu … Kevin al.[9] puts forward a rec- ommendation dialog system according to the reviews given by customers, which benefit customs in return. … In Proceedings of the 7th ACM conference on Recommender systems, pages 165–172. ACM, 2013. [6] SM Mudambi and D. Schuff. … Related articles

[BOOK] HCI International 2014-Posters’ Extended Abstracts: International Conference, HCI International 2014, Heraklion, Crete, June 22-27, 2014. Proceedings C Stephanidis – 2014 – books.google.com … Mikhail Fominykh, and Ekaterina Prasolova-Førland Pilot Scenario Design for Evaluating a Metacognitive Skills Learning Dialogue System….. … XXII Table of Contents–Part II A Semantic Recommender System for Learning Based on Encyclopedia of … All 5 versions

An attitudinal and behavioral model of personalization at different providers1 A Kobsaa, H Chob, BP Knijnenburga – Citeseer … tailor human-computer interaction to each individual user, to provide more value to users. Early application domains included (natural language) dialog systems (Cohen & Perrault, … of recommender systems by (Knijnenburg, Willemsen, Gantner, Soncu, & Newell, 2012b). … Cited by 1 Related articles

A framework for the assessment of synthetic personalities according to user perception Z Callejas, D Griol, R López-Cózar – International Journal of Human- …, 2014 – Elsevier … conducts. The comparison was carried out using likeability and trustworthiness measures obtained from questionnaires, as well as typical dialogue system measures such as ease of understanding and helpfulness. Additionally … Cited by 4 Related articles All 5 versions

An Ontology Design Pattern for Cooking Recipes–Classroom Created M Sam, AA Krisnadhi, C Wang, J Gallagher, P Hitzler – knoesis.org … Recipe is not modeled explicitly in these ontologies, although the recommender system that uses them can suggest combination of ingredients appropriate to the dieting requirements. … [6] described a Cooking ontology as an example how a spoken dialogue system can be … Cited by 1 Related articles All 15 versions

User Adaptation in Anonymous Web Applications J Myrlund – 2014 – diva-portal.org Page 1. User Adaptation in Anonymous Web Applications Jonas Myrlund Master of Science in Computer Science Supervisor: Herindrasana Ramampiaro, IDI Co-supervisor: Helge Langseth, IDI Svein Yngvar Willassen, Telenor Digital AS … Related articles All 4 versions

Adjective-Based Estimation of Short Sentence’s Impression NTT An, M Hagiwara – ep.liu.se … The task of polarity and emotion identification may contribute to a broad variety of possible applications such as recommender systems, the collection of opinions in product reviews, in financial news and also in the domain of human computer interaction. … Related articles

Augmenting expressivity of artificial subtle expressions (ASEs): preliminary design guideline for ASEs T Komatsu, K Kobayashi, S Yamada… – Proceedings of the 5th …, 2014 – dl.acm.org Page 1. Augmenting Expressivity of Artificial Subtle Expressions (ASEs): Preliminary Design Guideline for ASEs Takanori Komatsu Meiji University 4Y21Y1 NaNano, ToNyo 1648525, Japan tNomat@meiji.ac.jp Kazuki Kobayashi … Related articles All 3 versions

A User Modeling System for Adaptive Learning NP Loc – standresjournals.org Page 1. Standard Scientific Research and Essays Vol2 (4): 065-209, April 2014 (ISSN: 2310-7502) http://www.standresjournals.org/journals/SSRE Research Article A User Modeling System for Adaptive Learning Nguyen Phuoc Loc … Related articles All 2 versions

Employing Argumentation to Support Human Decision Making: A User Study J Salvit, Z Li, S Perumal, H Wall, J Mangels… – AAMAS Workshop on …, 2014 – cgi.csc.liv.ac.uk … In Proceedings of the 16th International World Wide Web Conference, Banff, Alberta, May 2007. 3. MQ Azhar, Eric Schneider, Jordan Salvit, Holly Wall, and Elizabeth I. Sklar. Evaluation of an argumentation-based dialogue system for human-robot collab- oration. … Cited by 1 Related articles All 2 versions

Modeling users, context and devices for Ambient Assisted Living environments E Castillejo, A Almeida, D López-de-Ipiña, L Chen – Sensors, 2014 – mdpi.com … 1. Introduction. Personalization and recommender systems have spread thanks to the growth of heterogeneous connected devices and their increasing possibilities. … As it occurs with recommender systems, user’s interest are vital for the concept ontology. … Cited by 2 Related articles All 15 versions

Intelligence virtual analyst capability A Bergeron-Guyard, V Lavigne, D Poussart, D Gouin… – 2014 – cradpdf.drdc-rddc.gc.ca Page 1. Intelligence virtual analyst capability Governing concepts and science and technology roadmap Alexandre Bergeron-Guyard Valérie Lavigne Denis Poussart Denis Gouin Jean Roy DRDC – Valcartier Research Centre Defence Research and Development Canada …

Using wrist vibrations to guide hand movement and whole body navigation A Brock, S Kammoun, M Macé, C Jouffrais – i-com, 2014 – degruyter.com Page 1. 3/2014 i-com 19 DOI 10.1515/icom.2014.0026 tactile feedback could be used to guide the hand along unknown itineraries on an audio-tactile map. This technique proved to be more efficient than auditory feedback. … Cited by 2 Related articles All 14 versions

Task-based Teaching of Computer-aided Translation in a Progressive Manner JX Liu – Conference Chairs and Editors of the Proceedings – asling.org … Extraction and Information Retrieval. He is also interested in (or has worked on) a number of other topics such as Recommender Systems, Multiagent Systems, Affective Computing, amongst others. Hernani completed his BSc … Related articles All 3 versions

Automatic detection of social behavior of museum visitor pairs E Dim, T Kuflik – ACM Transactions on Interactive Intelligent Systems ( …, 2014 – dl.acm.org Page 1. 17 Automatic Detection of Social Behavior of Museum Visitor Pairs EYAL DIM and TSVI KUFLIK, University of Haifa, Israel In many cases, visitors come to a museum in small groups. In such cases, the visitors’ social … Cited by 2 Related articles

Related References C Adam, B Gaudou, E Lorini, IN Chong… – Computer Vision and …, 2014 – books.google.com … A System- atic Approach for Designing Educational Recommender Systems. In I. Management Association (Ed.), Software Design and Development: Concepts, Methodologies, Tools, and Applications (pp. … A Recommender System for Learning Objects Personalized Retrieval. … Related articles

A meta-ontology for modeling fuzzy ontologies and its use in classification tasks based on fuzzy rules CA Yaguinuma, MTP Santos, HA Camargo… – International Journal of …, 2014 – mirlabs.org Page 1. International Journal of Computer Information Systems and Industrial Management Applications. ISSN 2150-7988 Volume6(2014) pp.89-101 c MIR Labs, www.mirlabs.net/ ijcisim/index.html A Meta-Ontology for Modeling Fuzzy Ontologies … Cited by 1 Related articles

Songrecommend: From summarization to recommendation S Tata, B Di Eugenio – Natural Language Engineering, 2014 – Cambridge Univ Press … Recommender systems can benefit users by assisting them in filtering their collections and discovering music they may not even know they have. Music popularity follows distribution with a Long Tail (Celma 2010; Goel et al. … Cited by 3 Related articles All 3 versions

An architectural framework for Ubiquitous Computing Applications I Koutelekos – 2014 – okeanis.lib.teipir.gr … These systems are particularly used by the filtering systems and web recommender systems, drawing a lot of information [35]. The … guides [42], adaptive search engines [43], adaptive recommender systems [44] and information kiosks [45]. Page 16. ? 14 ? … Related articles All 2 versions

Hybrid video emotional tagging using users’ EEG and video content S Wang, Y Zhu, G Wu, Q Ji – Multimedia tools and applications, 2014 – Springer Page 1. DOI 10.1007/s11042-013-1450-8 Hybrid video emotional tagging using users’ EEG and video content Shangfei Wang·Yachen Zhu·Guobing Wu·Qiang Ji © Springer Science+Business Media New York 2013 Abstract … Cited by 11 Related articles All 8 versions

Strategic Advice Provision in Repeated Human-Agent Interactions CV Goldman – umiacs.umd.edu … data. Recommender systems [1] advise users to take certain actions, usually from a large set of actions. Users … user. Past work in user-modeling have generated advice in dialogue systems or collaborative office assistants [47]. These … Related articles All 5 versions

Computer Engineering and Information Technology EE Editions – 2014 – phindia.com Page 1. Computer Science, Computer Engineering and Information Technology OCTOBER Page 2. CATALOGUE Eastern Economy Editions OCTOBER 2014 Computer Science, Computer Engineering and Information Technology … Related articles All 8 versions

An evaluation framework for multimodal interaction I Wechsung – 2014 – Springer … An issue mentioned by Alan Black: “One standard measure of spoken dialogue systems is task completion. Did the user successfully get the weath- er? … Proceedings IWSDS2011 Workshop on Para- linguistic Information and its Integration in Spoken Dialogue Systems. … Cited by 4 Related articles All 6 versions

2014 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 22 O Abdel-Hamid, T Abhayapala, TD Abhayapala… – ieeexplore.ieee.org … 2014 1701-1712 Rieser, V., Lemon, O., and Keizer, S., Natural Language Generation as Incremental Planning Under Uncertainty: Adaptive Information Pre- sentation for Statistical Dialogue Systems; TASLP May 2014 979-994 Rigoll, G., see Geiger, JT, TASLP June 2014 1037 …

[BOOK] Universal Access in Human-Computer Interaction: Design and Development Methods for Universal Access: 8th International Conference, UAHCI 2014, Held … C Stephanidis, M Antona – 2014 – books.google.com … System….. 215 Pradipta Biswas, Jaya Umadikar, Patrick M. Langdon, Arti Kashyap, and Suma Prashant Accessibility through Preferences: Context-Aware Recommender of Settings….. 224 … All 2 versions

A Preliminary Study of Food Court Analytics AA Palaniappan – 2014 – etda.libraries.psu.edu … Lin et al. [2002] proposed an associative rule-mining algorithm for collaborative recommender systems. The purpose of collaborative recommender systems is to personalize e-commerce by studying similarities and dissimilarities among different customers. … Related articles

Designing for Understanding: Helping Older Adults Understand Over-the-Counter Medication Information A Martin – 2014 – tigerprints.clemson.edu … 40 3-2 Mockup B –Search Interface with Customized Augmented Information Protocol ….. 41 3-4 Recommender System Prototype ….. 45 3-5 Information System Prototype ….. 47 … Related articles All 2 versions

Developing an enriched natural language grammar for prosodically-improved concent-to-speech synthesis L Marais – 2014 – uir.unisa.ac.za Page 1. Developing an enriched natural language grammar for prosodically-improved concept-to-speech synthesis by Laurette Marais submitted in accordance with the requirements for the degree of MASTER OF SCIENCE in the subject of COMPUTING at the … Related articles

A News Aggregator Using Semantic and Data Mining Technologies AP Ventouris – ikee.lib.auth.gr … analysis to identify the power and the influence of specific websites. In addition, the database could be used as a highly personal information recommender by drawing upon a large collection of articles and linked-data. Finally, the same algorithm could expand …

Unifying interaction across distributed controls in a smart environment using anthropology-based computing to make human-computer interaction “Calm” JNA Brown – 2014 – tdx.cesca.cat Page 1. John NA Brown, BA(Hons), BA, BEd, MSc Unifying Interaction Across Distributed Controls In A Smart Environment Using Anthropology-Based Computing To Make Human-Computer Interaction “Calm” DISSERTATION to gain the Joint Doctoral Degree … Cited by 7 Related articles All 6 versions

Conquering Data in Austria PIKT der Zukunft – bmvit.gv.at Page 1. Bundesministerium für Verkehr, Innovation und Technologie Lfd.Nr. IKT/01-2014 Conquering Data in Austria Technologie-Roadmap für das Programm IKT der Zukunft: Daten durchdringen – Intelligente Systeme Dr. Helmut …

Enabling Non-Speech Experts to Develop Usable Speech-User Interfaces A Kumar – 2014 – reports-archive.adm.cs.cmu.edu … developed world. For users in developing regions, where illiteracy often impedes usage of graphical interfaces, spoken dialog systems are being explored to provide access to relevant information, such as weather information to farmers [Plauchè et al., 2006], medical advise to … Related articles All 3 versions

Foundations and Trends in Signal Processing L Deng, Y Dong – Signal Processing, 2014 – research.microsoft.com Page 1. the essence of knowledge FnT SIG 7:3-4 Deep Learning; Methods and Applications Li Deng and Dong Y u Foundations and Trends® in Signal Processing 7:3-4 Deep Learning Methods and Applications Li Deng and Dong Yu now now Page 2. 7.1. … Cited by 3 Related articles All 12 versions

[BOOK] Object-Oriented User Interfaces for Personalized Mobile Learning E Alepis, M Virvou – 2014 – Springer Page 1. Intelligent Systems Reference Library 64 Efthimios Alepis Maria Virvou Object-Oriented User Interfaces for Personalized Mobile Learning Page 2. Intelligent Systems Reference Library Volume 64 Series editors Janusz … Related articles All 6 versions