Recommender Dialog Systems 2013


See also:

Conversational Recommender Systems | Recommender Dialog Systems 2014 | Recommender Dialog Systems 2015


Toward the next generation of recommender systems: applications and research challenges A Felfernig, M Jeran, G Ninaus, F Reinfrank… – Multimedia services in …, 2013 – Springer Page 1. Toward the Next Generation of Recommender Systems: Applications and Research Challenges … Abstract Recommender systems are assisting users in the process of identifying items that fulfill their wishes and needs. … Cited by 12 Related articles All 7 versions

Dialogue management for leading the conversation in persuasive dialogue systems T Hiraoka, Y Yamauchi, G Neubig… – … (ASRU), 2013 IEEE …, 2013 – ieeexplore.ieee.org … [4] Pontus Warnest, “User evaluation of a conversational recommender system,” Proceedings of Workshop on Knowledge and Reasoning in Practical Dialogue Systems, 2005. [5] Paolo Viappiani and Craig Boutilier, “Regret … Cited by 5 Related articles All 4 versions

Complementary assistance mechanisms for end user mashup composition S Roy Chowdhury, O Chudnovskyy… – Proceedings of the …, 2013 – dl.acm.org … complementary assistance mechanisms, namely an au- tomatic composition engine and a pattern recommender can efficiently help end users in designing situational mashups. The contributions of this paper are as follows: • We describe our goal-oriented dialog system that en … Cited by 17 Related articles All 14 versions

A hybrid recommendation approach for a tourism system JP Lucas, N Luz, MN Moreno, R Anacleto… – Expert Systems with …, 2013 – Elsevier … The case studies used to evaluate such method and the results of its application are presented in section 5. Finally, the conclusions are reported in Section 6. 2. Recommender systems. … Some of them are related in the next subsection. 2.2. Tourism recommender systems. … Cited by 26 Related articles All 7 versions

A query refinement mechanism for mobile conversational search in smart environments B Hu, MA Aufaure – Proceedings of the IUI 2013 on Second …, 2013 – smart-objects.org … ommended items during conversational search, this style of user-system interaction requires the dialogue systems to pro- vide better answers adapted to user’s critiques. Therefore, the mechanism of preference adjustment formed in critiques- based recommender systems is … Cited by 4 Related articles

Personalisation systems for cultural tourism K Kabassi – Multimedia services in intelligent environments, 2013 – Springer … 7(1), 76–80 (2003)CrossRef. 35. Montaner, M., Lopez, B., de la Rosa, JL: A taxonomy of recommender agents on the internet. Artif. Intell. Rev. … Rich, E.: Stereotypes and user modeling. In: Kobsa, A., Wahlster, W., (eds.) User Models in Dialog Systems, p. 199–214 (1989). 43. … Cited by 10 Related articles All 2 versions

Toward the implementation of a topic specific dialogue based natural language chatbot as an undergraduate advisor S Ghose, JJ Barua – Informatics, Electronics & Vision (ICIEV), …, 2013 – ieeexplore.ieee.org … computer programs that inter- act with users in natural language although different names are adopted like virtual agent, dialogue system, chatterbot in … 1][2]. Web- based chatbot system can provide an easy, natural extension to knowledge acquisition and recommender systems … Cited by 4 Related articles

Idea Spotter and Comment Interpreter: Sensemaking tools for Idea Management Systems G Convertino, Á Sándor, M Baez – ACM Communities and Technologies …, 2013 – disi.unitn.it … Speech-act theory has been mainly used in NLP applications for analyzing and generating dialogue systems [eg 25], since communicative intent has a major role in … We describe below the two components of the prototype: the comment categorizer and the action recommender. … Cited by 4 Related articles All 2 versions

Generating Recommendation Dialogs by Extracting Information from User Reviews. K Reschke, A Vogel, D Jurafsky – ACL (2), 2013 – aclweb.org … 1 Introduction Recommendation dialog systems have been devel- oped for a number of tasks ranging from product search to restaurant recommendation (Chai et al., 2002 … Finally, we use these subcategory topics to gen- erate questions for our recommender dialog sys- tem. … Cited by 8 Related articles All 16 versions

Pennants for descriptors HD White, P Mayr – arXiv preprint arXiv:1310.3808, 2013 – arxiv.org … All of this is clearer in the example, which involves descriptors from HW Wilson’s Social Sciences Abstracts on the Dialog system. … The pennant thus acts as a recommender system for topical areas that will be fruitful to browse or search. References … Cited by 2 Related articles All 3 versions

PQMPMS: a preference-enabled querying mechanism for personalized mobile search B Hu, Y Vanrompay, MA Aufaure – Web Reasoning and Rule Systems, 2013 – Springer … Let us consider a motivating scenario, a tourist Maria asks her dialogue system for recommending the best restaurant near the Eiffel Tower in Paris. … Context-aware recommender. This component fulfills the core functionality of recommending the desirable items in two steps. … Cited by 2 Related articles All 12 versions

[BOOK] Hybrid user modelling algorithms for tourism providers I Torre, MT Linaza, A Garcia – 2013 – Springer … Burke, R. (2000). Knowledge-based recommender systems. Encyclopedia of Library and Information Systems 69 (32). … Rich, E. (1989). Stereotypes and User Modeling. In: A. Kobsa and W. Wahlster: 1989, User Models in Dialog Systems, Heidelberg: Springer Verlag. … Cited by 1 Related articles All 3 versions

Inverse reinforcement learning for interactive systems O Pietquin – Proceedings of the 2nd Workshop on Machine …, 2013 – dl.acm.org … late 90’s, sequential decision making algorithms like reinforcement learning [45] have been introduced in the field of spoken dialogue systems (SDS) with … systems such as tu- toring applications [13, 28], museum guides [46], car driving assistance [34], recommender systems [ … Cited by 1 Related articles All 6 versions

ReComment: Towards critiquing-based recommendation with speech interaction P Grasch, A Felfernig, F Reinfrank – … ACM Conference on Recommender …, 2013 – dl.acm.org … While natural language processing remains a hard task in general, its complexity in severely limited domains is manageable [2]. Some fundamentals of applied dialog systems for recommender systems are discussed in [1] and a prototype of a natural language speech-based … Cited by 5 Related articles All 3 versions

The Advantages of Using SK–languages for Designing Semantic-Syntactic Analyzers of Recommender Systems//Kurt J. Engemann and George E. Lasker (Eds. … VA Fomichov – bi.hse.ru … can be used as a powerful and flexible tool for designing arbitrary semantics-oriented natural language interfaces of recommender systems. … V., Nicolov, N., Stys, M., Kambhatla, N., Zadrozny, W. and P. Melville (2002); Natural Language Assistant – A Dialog System for Online … Related articles

A Voice-Enabled Framework for Recommender and Adaptation Systems in E-Learning AA Azeta, CK Ayo… – Integrated Models for …, 2013 – books.google.com … Page 101. A Voice-Enabled Framework for Recommender and Adaptation Systems in E-Learning Blackboard and Claroline (Ermalai et al., 2009). … It is a necessity that spoken dialogue system performance be enhanced through adaptation (Pakucs, 2003). … All 5 versions

Emotion orientated recommendation system for Hiroshima tourist by fuzzy Petri Net T Ichimura, I Tachibana – Computational Intelligence & …, 2013 – 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

Evaluation of In-Car SDS Notification Concepts for Incoming Proactive Events H Hofmann, M Hermanutz, V Tobisch, U Ehrlich… – uni-ulm.de … Results show that the proactive recommender system is perceived as helpful and does not distract from driving. … A speech dialog system (SDS) prototype supported by a graphical user interface (GUI) employing the designed notification concepts has been developed for German … Related articles

Information Retrieval and User-Centric Recommender System Evaluation. A Said, A Bellogín, AP de Vries, B Kille, JA Gulla… – UMAP …, 2013 – dai-labor.de … Said, Robert Wetzker, Winfried Umbrath, Leonhard Hennig In: Proceedings of the RecSys’09 Workshop on Recommender Systems & … Analysis of a New Simulation Approach to Dialog System Evaluation Klaus-Peter Engelbrecht, Michael Quade, Sebastian Möller In: Speech … Related articles All 8 versions

STIDS 2012 Committees R Carvalho, W Ceusters, P Costa, M Dean, K Goodier… – Citeseer … 49 A Policy-?Based Dialogue System for Physical Access Control Mohammad Ababneh, Duminda Wijesekera, and James Bret Michael … 121 Social Sifter: An Agent-?Based Recommender System to Mine the Social Web M. Omar Nachawati, Rasheed Rabbi, Genong (Eugene) Yu …

Towards Deeper Understanding of Syntactic Concepts in Programming S Gross, S Strickroth, N Pinkwart, NT Le – The First Workshop on AI- …, 2013 – ceur-ws.org … Help- MeOut [5], however, is a recommender system based on compiler messages and runtime exceptions which formulated queries to a database containing error … That is, for each question/example, correct answers can be anticipated and authored in the dialogue system. … Related articles All 4 versions

Towards a recommendation system for TV programs based on human behaivior M Meddeb, MA Alimi – Proceedings Engineering & Technology-Vol, 2013 – ipco-co.com … III. RELATED WORK A. TV program recommendation Recommender systems for TV program have been studied for the realization of personalized TV Electronic Program Guides. … [11] Liscombe j., Riccardi G., Hakkani-Tuer. emotion detection in spoken dialog systems. Proc. … Related articles All 2 versions

Exploiting collaborative filtering techniques for automatic assessment of student free-text responses T Ge, Z Sui, B Chang – Proceedings of the 22nd ACM international …, 2013 – dl.acm.org … paper, we used the Beetle dataset [6] for training and eval- uation, which is a set of transcripts of students interacting with an intelligent tutorial dialogue system for teaching … 3.1 Motivation Collaborative filtering is one of the most promising technologies for recommender systems. … Related articles

An Ontological Approach to Support Personalized E-Learning System KM Sudhana, VC Raj, KT Sikamani – International Journal of Computer …, 2013 – Citeseer … [5] Proposed ontology based dialog system called OWL- OLM, for acquisition of user knowledge and to analyze the current state of the user’s knowledge according to the needs for a particular course task. … Exploiting synergy between ontologies and recommender systems. … Cited by 2 Related articles All 5 versions

Semantic User Profiling for News Domain S Agarwal, A Singhal – IJCISIM, June, 2013 – mirlabs.org … inferencing also. In [22] authors have shown use of domain ontology as knowledge source in web dialogue system as a basis to define semantics of information to be exchanged among the components of web dialogue system. Their … Cited by 3 Related articles

What’s Up in Business Intelligence? A Contextual and Knowledge-Based Perspective MA Aufaure – Conceptual Modeling, 2013 – Springer … In order to provide a more personalized answer tailored to the user needs, we propose a spoken dialogue system where user interests are … In particular, it is essential for recommender systems to perform preference adjustments based on user feedback, in order to modify the … Cited by 1 Related articles All 3 versions

Virtual butler: what can we learn from adaptive user interfaces? C Conati – Your Virtual Butler, 2013 – Springer … Provision of rationale has also been explored in recommender systems [27], in expert systems [28] and in mixed-initiative approaches to interface … CRC Press, Boca Raton (2008) 3. Ferguson, G., Allen, J.: Mixed-Initiative Dialogue Systems for Collaborative Problem- Solving. … Cited by 1 Related articles All 4 versions

Web-based Artificial Intelligence Agents SC Patel, E Karanja, SK Maheshwari – dias.ac.in … The Natural Language Assistant (NLA) is a web-based natural language dialog system that helps users to find relevant products on e-commerce sites (Chai et. al. … Smart Choice is a nNLA based AI agent that is implemented as an online content-based recommender system. … Related articles

A framework for arguing from analogy: preliminary results M Budán, PD Budán, GR Simari – XVIII Congreso Argentino de …, 2013 – sedici.unlp.edu.ar … 7,6,12] leading to the application of these systems in many areas such as legal reasoning, recommender systems and … modeling reasoning using argumentation schemes necessarily involves developing a method combining issues of non-monotonic logic and dialogue systems. … Cited by 1 Related articles All 2 versions

Div-clustering: Exploring active users for social collaborative recommendation H Wu, X Wang, Z Peng, Q Li – Journal of Network and Computer …, 2013 – Elsevier … computer applications. However, CR involves a cold-start problem, in which a newly established recommender system usually exhibits low recommending accuracy because of insufficient data, such as lack of ratings from users. In … Cited by 6 Related articles All 4 versions

Conversational CBR MM Richter, RO Weber – Case-Based Reasoning, 2013 – Springer … Special aspects about recommender system are discussed in Reilly et al. ( 2005 ). The length of dialogues is described in detail in Schmitt ( 2002 ). Cycopath has created several dialogue systems. The cell phone example was taken from one of their projects. … Related articles

Conversational gaze aversion for virtual agents S Andrist, B Mutlu, M Gleicher – Intelligent Virtual Agents, 2013 – Springer … We counterbalanced all conversations for both gender—female and male—and conversational role—recommender and recommendee. … In: Proceed- ings of the International CLASS Workshop on Natural, Intelligent and Effective Interaction in Multimodal Dialogue Systems, pp. … Cited by 10 Related articles All 8 versions

User Modeling Criteria and the Info-bead User Modeling Approach E Dim, T Kuflik, I Reinhartz-Berger – mis.hevra.haifa.ac.il … Rich, E.: Stereotypes and User Modeling. In: In: Kobsa, A., and Whalster, W., (Eds.), User Models in Dialog Systems, Springer-Verlag Berlin Heidelberg, pp. 4-34, (1989). 24. Schafer, JB, Frankowski, D., Herlocker, J., and Sen, S.: Collaborative Filtering Recommender Systems. … Related articles All 5 versions

Applying MapReduce to Learning User Preferences in Near Real-Time I Beaver, J Dumoulin – Case-Based Reasoning Research and …, 2013 – Springer … S., Pieraccini, R., Biatov, K., Bocchieri, E., Di Fabbrizio, G., Walker, M.: The AT&T-DARPA Communicator mixed-initiative spoken dialog system. … Research and Development, 274–288 (2011) 5. Bridge, D., Göker, MH, McGinty, L., Smyth, B.: Case-based recommender sys- tems. … Cited by 1 Related articles All 4 versions

Scope of ontological annotation in e-commerce S Asharaf, MS Abdulla – International Journal of Business …, 2013 – inderscienceonline.com … A natural-language-based dialogue system for physical shopping environments, such that the brick-and-mortar shopping environment is … We have seen that in semantically annotated recommender systems each product instance get semantically annotated to a product concept … Cited by 1 Related articles All 3 versions

Lightweight tourism recommendation N Luz, R Anacleto, C Martins… – … Journal of Web …, 2013 – inderscienceonline.com … decision support system. In this paper, a lightweight version of this UM process, intended to work as a tourism recommender system in a commercial environment, is presented along with significant improvements. Our goal, besides … Cited by 1 Related articles All 4 versions

An evaluation of keyword, string similarity and very shallow syntactic matching for a university admissions processing infobot P Hancox, N Polatidis – Computer Science and Information Systems, 2013 – doiserbia.nb.rs Page 1. DOI: 10.2298/CSIS121202065H An evaluation of keyword, string similarity and very shallow syntactic matching for a university admissions processing infobot Peter Hancox1 and Nikolaos Polatidis2 1 School of Computer … Cited by 1 Related articles All 7 versions

The AAAI-13 Conference Workshops V Agrawal, C Archibald, M Bhatt, H Bui, DJ Cook… – AI Magazine, 2013 – aaaipress.org … In his talk, Shani reported on recent results on user interaction as- pects in recommender systems applica- tions and in … applications in- cluding personal assistant technology, security systems, gaming and simula- tion, human-robot interaction, and au- tomated dialogue systems. … All 5 versions

SmARTweet: A location-based smart application for exhibits and museums A Chianese, F Marulli, V Moscato… – … -Image Technology & …, 2013 – ieeexplore.ieee.org … C. User ratings based recommendation strategy UPE (User Profile Engine), running in the back-end side and hosted in the MCS, works as a recommender system providing personalized suggestions about artwork contents, evaluated as interesting for users among the ones in … Cited by 14 Related articles All 5 versions

Bringing context-aware access to the web through spoken interaction D Griol, J Carbo, JM Molina – Applied intelligence, 2013 – Springer … Our contri- bution focuses specifically on the use of context information to improve the effectiveness of providing web services by using a spoken dialog system for the user-system interac- tion. … The same problem occurs when designing a dialog system. … Cited by 6 Related articles All 8 versions

[BOOK] HCI International 2013-Posters’ Extended Abstracts: International Conference, HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013, Proceedings C Stephanidis – 2013 – books.google.com Page 1. Constantine Stephanidis (Ed.) Communications in Computer and Information Science 373 HCI International 2013– Posters’ Extended Abstracts International Conference, HCI International 2013 Las Vegas, NV, USA, July 2013 Proceedings, Part I 123 Part 1 Page 2. … All 4 versions

Creative Applications of Human Behavior Understanding AA Salah, H Hung, O Aran, H Gunes – Human Behavior Understanding, 2013 – Springer … emotional experience, can serve pragmatic purposes, like summarization of a movie by its emotional peaks, or for customized recommender systems … Kannetis, T., Potamianos, A.: Towards adapting fantasy, curiosity and challenge in multimodal dialogue systems for preschoolers … Cited by 2 Related articles All 5 versions

Context-Aware Agile Business Process Engine: Foundations and Architecture I Rychkova, M Kirsch-Pinheiro, B Le Grand – Enterprise, Business-Process …, 2013 – Springer … This approach relies on automated control systems and implements declarative modeling principles. Burkhart et al. [7] propose to explore the capabilities of recommender systems to provide the user with intelligent process-oriented support at run time. … Cited by 4 Related articles All 6 versions

Sensors talk and humans sense towards a reciprocal collective awareness smart city framework A Vakali, L Angelis, M Giatsoglou – … Workshops (ICC), 2013 …, 2013 – ieeexplore.ieee.org … Chambers. Real-Time Stochastic Language Generation for Dialogue Systems. European Workshop for Natural Language Generation, Aberdeen, Scotland. pp 40-48. … 2011. [9] LD Prete, L. Capra: diffeRS: A Mobile Recommender Service. … Cited by 5 Related articles All 4 versions

Natural Language Processing and Chinese Computing GZJ Li, DZY Feng – Springer … 72 Xiaoqing Lu, Yingmin Tang, Zhi Tang, Yujun Gao, and Jianguo Zhang Simulated Spoken Dialogue System Based on IOHMM with User … Li, Rong Wang, Huanhuan Liu, and Chu-Ren Huang Expanding User Features with Social Relationships in Social Recommender Systems …

Artificial speech and its authors PJ Nickel – Minds and Machines, 2013 – Springer … By saying this, the recommender means that the candidate is unsuited to the position (speaker meaning), although this is not part of what … For example, the company deploying a dialogue system that sells airplane tickets might claim, on a day when the system did not take recent … Cited by 1 Related articles All 7 versions

[BOOK] Natural Language Processing and Chinese Computing: Second CCF Conference, NLPCC 2013, Chongqing, China, November 15-19, 2013. Proceedings G Zhou, J Li, D Zhao, Y Feng – 2013 – books.google.com … Xiaoqing Lu, Yingmin Tang, Zhi Tang, Yujun Gao, and Jianguo Zhang Simulated Spoken Dialogue System Based on IOHMM with User … Li, Rong Wang, Huanhuan Liu, and Chu-Ren Huang Expanding User Features with Social Relationships in Social Recommender Systems … All 3 versions

Does Learner Conscientiousness Matter When Generating Emotional Support in Feedback? M Dennis, J Masthoff, C Mellish – Affective Computing and …, 2013 – ieeexplore.ieee.org Page 1. Does Learner Conscientiousness Matter when Generating Emotional Support in Feedback? Matt Dennis, Judith Masthoff & Chris Mellish Department of Computing Science, University of Aberdeen, UK Email: {m.dennis, j.masthoff, c.mellish}@abdn.ac.uk … Cited by 6 Related articles All 6 versions

From query to question in one click: suggesting synthetic questions to searchers G Dror, Y Maarek, A Mejer, I Szpektor – Proceedings of the 22nd …, 2013 – dl.acm.org Page 1. From Query to Question in One Click: Suggesting Synthetic Questions to Searchers Gideon Dror, Yoelle Maarek, Avihai Mejer, Idan Szpektor Yahoo! Research Haifa 31905, Israel {gideondr,amejer,idan}@yahoo-inc.com, yoelle@ymail.com … Cited by 2 Related articles All 8 versions

Expert Recommendations Based on Opinion Mining of User-Generated Product Reviews A Stavrianou, C Brun – Computational Intelligence, 2013 – Wiley Online Library … While typical recommender systems compare a user profile with some reference characteristics to rate unseen items, they rarely make use of the content of reviews that users have provided on a given product. … Review enrichment module. Recommender component. … Cited by 3 Related articles All 3 versions

Knowledge elicitation methods for affect modelling in education K Porayska-Pomsta, M Mavrikis, S D’Mello… – … Journal of Artificial …, 2013 – eprints.ioe.ac.uk Page 1. Knowledge Elicitation Methods for Affect Modelling in Education Ka?ka Porayska-Pomsta, Manolis Mavrikis (London Knowledge Lab, Institute of Education, University of London; K.Porayska- Pomsta@ioe.ac.uk, M.Mavrikis … Cited by 30 Related articles All 9 versions

Improving Accuracy of Decision Trees Using Clustering Techniques J Torres-Niño, A Rodríguez-González… – Journal of Universal …, 2013 – jucs.org … [Ali et al. 2009] also proposes a hybrid method using clustering as a preprocessing stage and decision trees as the main classifier, applied in a dialogue system. … [Kazienko 2008] Kaienko, P. “Web-Based Recommender Systems and User Needs –the Comprehensive View”; In … Cited by 2 Related articles All 4 versions

Anisotropic propagation of user interests in ontology-based user models F Cena, S Likavec, F Osborne – Information Sciences, 2013 – Elsevier … One of the promising uses of ontologies is in the area of adaptive systems, such as recommender systems and adaptive search engines, in which the final services are tailored to users’ needs to account for differences in their individual requirements. … Cited by 4 Related articles All 6 versions

Diagnostic and accessibility based user modelling SP Carmien, AM Cantera – User Modeling and Adaptation for Daily …, 2013 – Springer … User models have been used as diagnostic tools when combined with reasoning engines in expert systems [ 23 ], as configuration aids in systems with stereotype patterns [ 12 , 31 ], as recommender systems in collaborative filters [ 27 ], and as tools for properly fitting assistive … Cited by 3 Related articles All 3 versions

Requirements and architecture design principles for a smart city experiment with sensor and social networks integration C Samaras, A Vakali, M Giatsoglou… – Proceedings of the 17th …, 2013 – dl.acm.org … application (citizens’ recommender) to get summaries of sensors’ measurements in relevance to humidity, temperature and CO level, which greatly influence his health. … Real-Time Stochastic Language Generation for Dialogue Systems. … Cited by 4 Related articles All 3 versions

Preference Extraction and Reasoning in Negotiation Dialogues Anaïs CADILHAC N ASHER, F BENAMARA – irit.fr … 205 B.7 Résultats pour la prédiction automatique globale des échanges. . . . 206 14 Page 15. List of Figures 1.1 The movie recommender MovieLens interface. . . . . 27 1.2 The restaurant recommender Entree interface. . . . . 28 … Related articles All 3 versions

PRESTK: situation-aware presentation of messages and infotainment content for drivers C Endres – 2013 – scidok.sulb.uni-saarland.de Page 1. PRESTK: Situation-Aware Presentation of Messages and Infotainment Content for Drivers Dissertation zur Erlangung des Grades Doktor der Ingenieurwissenschaften (Dr.-Ing.) der Naturwissenschaftlich-Technischen Fakultät I der Universität des Saarlandes … Cited by 5 Related articles All 3 versions

Shared Mental Models of Cognition for Intelligent Tutoring of Teams JD Fletcher, RA Sottilare – Design Recommendations for Intelligent …, 2013 – eduworks.com … attain instructional objectives. Because of their dynamic qualities, they are particularly suited to tutorial dialogue systems that must generate instructional and problem solving guidance on demand, in real time. Development of … Cited by 4 Related articles All 8 versions

Preference extraction and reasoning in negotiation dialogues A Cadilhac – 2013 – thesesups.ups-tlse.fr … 209 B.7 Résultats pour la prédiction automatique globale des échanges. . . . 210 18 Page 19. List of Figures 1.1 The movie recommender MovieLens interface. . . . . 31 1.2 The restaurant recommender Entree interface. . . . . 32 … Related articles All 2 versions

Exploring the practical benefits of argumentation in multi-agent deliberation EM Kok – 2013 – dspace.library.uu.nl … With ubiquitous internet access, recommender engines, localization and social networks, it seems that settling on a restaurant to eat … Many studies into argumentation-based dialogue systems leave the pro- claimed benefits unspecified, but there are still some concrete reasons … Related articles

Improving Accuracy and Practicality of Accelerometer-Based Hand Gesture Recognition D Mace, W Gao, AK Coskun – 2nd Workshop on Interacting with Smart …, 2013 – Citeseer Page 1. Improving Accuracy and Practicality of Accelerometer- Based Hand Gesture Recognition David Mace Archbishop Mitty High School davidmace13@ mittymonarch. com Wei Gao Boston University ECE Department davidgao@bu.edu … Cited by 1 Related articles All 4 versions

Anomaly Detection and its Adaptation: Studies on Cyber-Physical Systems M Raciti – 2013 – diva-portal.org Page 1. Linköping Studies in Science and Technology Licentiate Thesis No. 1586 Anomaly Detection and its Adaptation: Studies on Cyber-Physical Systems by Massimiliano Raciti Department of Computer and Information Science … Related articles All 3 versions

PATCH 2013: Personal Access to Cultural Heritage L Ardissono, L Aroyo, L Bordoni, J Kay, T Kuflik – Citeseer … The CHIP project2 aims to provide personalised presentation and navigation of the Rijksmuseum cultural resources. The Artwork Recommender supports the rating of artworks/topics to generate a user profile, which is then used to drive future artwork recommendations. … Related articles All 6 versions

Finding optimal alternatives based on efficient comparative preference inference W Trabelsi – 2013 – cora.ucc.ie … 1 1.1.1 Preferencerepresentation . . . . . 1 1.1.2 Recommender systems . . . . . 2 … 32 2.9.3 Dierent techniques of recommendation . . . . . 33 2.9.4 Case-based recommender systems . . . . . 35 … Related articles All 2 versions

An Introduction to Audio and Visual Research and Applications in Marketing L Xiao, H Kim, M Ding – Review of Marketing Research, 2013 – emeraldinsight.com Page 1. AN INTRODUCTION TO AUDIO AND VISUAL RESEARCH AND APPLICATIONS IN MARKETING Li Xiao, Hye-jin Kim and Min Ding ABSTRACT Purpose – The advancement of multimedia technology has spurred the use of multimedia in business practice. … Cited by 1 Related articles All 3 versions

Designing Personalization in Technology-Based Services MK Lee – 2013 – reports-archive.adm.cs.cmu.edu … introduced in later chapters. 2.1 Personalization Research Previous research in recommender systems, service and marketing research, and HCI offers a framework for classifying different types of personalization and highlights a wide array of benefits from personalization. … Related articles All 6 versions

Resilience in High Risk Work: Analysing Adaptive Performance A Rankin – 2013 – diva-portal.org Page 1. Linköping Studies in Science and Technology Licentiate Thesis No. 1589 Resilience in High Risk Work: Analysing Adaptive Performance by Amy Rankin Department of Computer and Information Science Linköpings universitet SE-581 83 Linköping, Sweden … Related articles All 2 versions

Prediction of interface preferences with a classifier selection approach E Vildjiounaite, D Schreiber, V Kyllönen… – Journal on Multimodal …, 2013 – Springer … histories are not yet available, and it is not restricted to similar interfaces and application domains, as we demonstrate by experiments on predicting preferences of individuals and groups for three different application proto- types: recipe recommender, cooking assistant and car … Cited by 1 Related articles All 3 versions

A survey of point-based POMDP solvers G Shani, J Pineau, R Kaplow – Autonomous Agents and Multi-Agent …, 2013 – Springer … Other examples of applications where partial observability is prevalent are dialog systems [67], preference elicitation tasks [9,14], auto- mated fault recovery [34,50], medical diagnosis [20], assisting people with disabilities [21], recommender systems [51], and many more. … Cited by 91 Related articles All 8 versions

A survey of commonsense knowledge acquisition LJ Zang, C Cao, YN Cao, YM Wu… – Journal of Computer …, 2013 – Springer … Second, interactive systems need commonsense knowledge. To interact with human users better, inter- active systems (eg, recommender systems) should be able to understand and predict users’ intentions, plans, preferences, affect, context, and so on. … Cited by 4 Related articles All 9 versions

What and When Do Students Learn? JP González-Brenes – 2013 – lti.cs.cmu.edu Page 1. What and When Do Students Learn? Methods For Knowledge Tracing With Data-Driven Mapping of Items to Skills José Pablo González-Brenes CMU-LTI-13- 010 Language Technologies Institute School of Computer … Related articles All 11 versions

Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics T Tamisier, F Feltz – Modern Entrepreneurship and E-Business …, 2013 – books.google.com Page 224. 198 Chapter 14 Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics Thomas Tamisier Centre de Rercherche Public-Gabriel Lippmann, Luxembourg Fernand Feltz Centre de Rercherche … All 4 versions

Constrained text coclustering with supervised and unsupervised constraints Y Song, S Pan, S Liu, F Wei, MX Zhou… – Knowledge and Data …, 2013 – ieeexplore.ieee.org Page 1. Constrained Text Coclustering with Supervised and Unsupervised Constraints Yangqiu Song, Member, IEEE, Shimei Pan, Shixia Liu, Member, IEEE, Furu Wei, Michelle X. Zhou, Senior Member, IEEE, and Weihong Qian … Cited by 14 Related articles All 4 versions

Observer effect from stateful resources in agent sensing A Eck, LK Soh – Autonomous agents and multi-agent systems, 2013 – Springer … Here, interrupting the human user to gather information about her preferences and activi- ties, such as in a recommender system (eg, [2]) or personal information management (eg, [10,34,55]) application, can distract the user’s cognitive processes [32] leading to higher … Cited by 7 Related articles All 7 versions

A Framework for a Task-Oriented User Interaction with Smart Environments Using Mobile Devices CC Vo – 2013 – homepage.cs.latrobe.edu.au … 16 2.2 Universal Remote Systems . . . . . 17 2.2.1 Point & Control Metaphor . . . . . 17 2.2.2 Spoken Dialogue Systems . . . . . 18 2.2.3 Summary . . . . . 19 2.3 Task Guidance Systems . . . . . … Related articles All 2 versions

Publication & Citation List Y Avrithis – 2013 – image.ntua.gr Page 1. Publication & Citation List Yannis Avrithis February 26, 2013 Contents 1 Introduction 1 2 Publications 2 2.1 Theses . . . . . 2 2.2 Edited volumes . . . . . 2 2.3 Journal articles . . . . . … Related articles All 3 versions

[BOOK] Human Interface and the Management of Information: Information and Interaction Design, 15th International Conference, HCI International 2013, Las Vegas, … S Yamamoto – 2013 – books.google.com Page 1. Sakae Yamamoto (Ed.) Human Interface and the Management of Information Information and Interaction Design 15th International Conference, HCI International 2013 Las Vegas, NV, USA, July 2013 Proceedings, Part I 123 Page 2. … Related articles All 2 versions

U-Sem, a platform for augmented user modelling B Todorov – 2013 – repository.tudelft.nl … can benefit by extracting certain kinds of knowledge out of it. There are many fields that can benefit from this including recommender systems, advertising, e-learning, etc. As a result of the many possible applications there is … Related articles