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User Modeling, Adaptation, and Personalization: 18th International Conference, UMAP 2010, Big Island, HI, USA, June 20-24, 2010, Proceedings de Paul De Bra

User Modeling, Adaptation, and Personalization: 18th International Conference, UMAP 2010, Big Island, HI, USA, June 20-24, 2010, Proceedings: Lecture Notes in Computer Science, cartea 6075

Editat de Paul De Bra, Alfred Kobsa, David Chin
en Limba Engleză Paperback – iun 2010

Recomandăm acest volum cercetătorilor și specialiștilor în sisteme informatice care posedă deja o bază solidă în analiza datelor și interacțiunea om-calculator. Fiind rezultatul fuziunii dintre comunitățile de „User Modeling” (UM) și „Adaptive Hypermedia” (AH), lucrarea presupune familiaritatea cu algoritmii de personalizare și structurile de date complexe utilizate în adaptarea conținutului web.

Remarcăm rigoarea academică ridicată a acestei ediții, demonstrată de rata de acceptare de doar 23.2% pentru lucrările de cercetare extinse. Structura volumului User Modeling, Adaptation, and Personalization este organizată progresiv, începând cu prelegeri magistrale despre modelarea emoțiilor în entități virtuale și continuând cu aplicații practice precum modelarea difuziei influenței pentru reclamele sociale (AdHeat). Un aspect distinctiv față de alte conferințe de profil este echilibrul dintre teorie și aplicabilitate practică, evidențiat prin includerea unei secțiuni de „Industry Papers” coordonată de experți de la Google și PARC.

Complementar volumului User Modeling 2005, care punea bazele sistemelor de recomandare și navigației web suport, ediția din 2010 acoperă zone mai avansate și emergente la acea vreme, precum modelarea contextului prin senzori și Twitter pentru gestionarea întreruperilor sau utilizarea memoriei de lucru în e-learning. De asemenea, spre deosebire de Advances in User Modeling (UMAP 2011), care se concentrează pe ateliere și postere, acest volum prezintă nucleul cercetării fundamentale prin lucrări complete, oferind o perspectivă tehnică aprofundată asupra modului în care sistemele pot prezice performanța utilizatorului în medii de învățare inteligente.

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Specificații

ISBN-13: 9783642134692
ISBN-10: 3642134696
Pagini: 428
Ilustrații: XVIII, 428 p. 115 illus.
Dimensiuni: 8 x 93 x 29 mm
Greutate: 0.66 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

De ce să citești această carte

Pentru cercetătorii din domeniul data mining și HCI, acest volum din seria Lecture Notes in Computer Science oferă acces la metodologii validate de selecție riguroasă. Cititorul câștigă o înțelegere profundă a algoritmilor de personalizare, de la modelarea profilurilor de grup la sisteme mobile de modelare a utilizatorului, fiind o resursă esențială pentru dezvoltarea sistemelor adaptive moderne.

Cuprins

Keynote Speakers.- Modeling Emotion and Its Expression in Virtual Humans.- AdHeat — An Influence-Based Diffusion Model for Propagating Hints to Personalize Social Ads.- Full Research Papers.- Can Concept-Based User Modeling Improve Adaptive Visualization?.- Interweaving Public User Profiles on the Web.- Modeling Long-Term Search Engine Usage.- Analysis of Strategies for Building Group Profiles.- Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor.- Working Memory Span and E-Learning: The Effect of Personalization Techniques on Learners’ Performance.- Scaffolding Self-directed Learning with Personalized Learning Goal Recommendations.- Instructional Video Content Employing User Behavior Analysis: Time Dependent Annotation with Levels of Detail.- A User-and Item-Aware Weighting Scheme for Combining Predictive User Models.- PersonisJ: Mobile, Client-Side User Modelling.- Twitter, Sensors and UI: Robust Context Modeling for Interruption Management.- Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems.- Inducing Effective Pedagogical Strategies Using Learning Context Features.- “Yes!”: Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities.- A Personalized Graph-Based Document Ranking Model Using a Semantic User Profile.- Interaction and Personalization of Criteria in Recommender Systems.- Collaborative Inference of Sentiments from Texts.- User Modelling for Exclusion and Anomaly Detection: A Behavioural Intrusion Detection System.- IntrospectiveViews: An Interface for Scrutinizing Semantic User Models.- Analyzing Community Knowledge Sharing Behavior.- A Data-Driven Technique for Misconception Elicitation.- Modeling Individualization in a Bayesian NetworksImplementation of Knowledge Tracing.- Detecting Gaming the System in Constraint-Based Tutors.- Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media.- A Study on User Perception of Personality-Based Recommender Systems.- Compass to Locate the User Model I Need: Building the Bridge between Researchers and Practitioners in User Modeling.- Industry Papers.- myCOMAND Automotive User Interface: Personalized Interaction with Multimedia Content Based on Fuzzy Preference Modeling.- User Modeling for Telecommunication Applications: Experiences and Practical Implications.- Mobile Web Profiling: A Study of Off-Portal Surfing Habits of Mobile Users.- Personalized Implicit Learning in a Music Recommender System.- Short Research Papers.- Personalised Pathway Prediction.- Towards a Customization of Rating Scales in Adaptive Systems.- Eye-Tracking Study of User Behavior in Recommender Interfaces.- Recommending Food: Reasoning on Recipes and Ingredients.- Disambiguating Search by Leveraging a Social Context Based on the Stream of User’s Activity.- Features of an Independent Open Learner Model Influencing Uptake by University Students.- Doctoral Consortium Papers.- Recognizing and Predicting the Impact on Human Emotion (Affect) Using Computing Systems.- Utilising User Texts to Improve Recommendations.- Semantically-Enhanced Ubiquitous User Modeling.- User Modeling Based on Emergent Domain Semantics.- “Biographic spaces”: A Personalized Smoking Cessation Intervention in Second Life.- Task-Based User Modelling for Knowledge Work Support.- Enhancing User Interaction in Virtual Environments through Adaptive Personalized 3D Interaction Techniques.

Descriere

The 18th InternationalConference on User Modeling, Adaptation and Person- ization(UMAP 2010)took placeon BigIsland, HawaiiduringJune 20 24,2010. It was the second conference after UMAP 2009 in Trento, Italy, which merged the successful biannual User Modeling (UM) and Adaptive Hypermedia (AH) conference series. The ResearchPapertrackof the conferencewaschairedbyPaulDe Brafrom the Eindhoven University of Technology and Alfred Kobsa from the University ofCalifornia, Irvine. TheywereassistedbyaninternationalProgramCommittee of 80 leading ?gures in the AH and UM communities as well as highly promising youngerresearchers. Papersinthe ResearchPapertrackweregenerallyreviewed by three and sometimes even four reviewers, with one of them acting as a lead who initiates a discussion between reviewers and reconciles their opinions in a meta-review. The conferencesolicitedLong ResearchPapersof up to 12pagesin length, whichrepresentoriginalreports of substantivenew research. In addition, theconferenceacceptedShortResearchPapersofuptosixpagesinlength, whose merit was assessed more in terms of originality and importance than maturity and technical validation. The Research Paper track received 161 submission, with 112 in the long and 49 in the short paper category. Of these, 26 long and 6 short papers were accepted, resulting in an acceptance rate of 23. 2% for long papers and 19. 9% overall. Many authors of rejected papers were encouraged to resubmit to the Poster and Demo track of the conference. Following the example of UMAP 2009, the conference also had an Ind- try Paper track chaired by Bhaskar Mehta from Google, Zur ] ich, Switzerland and Kurt Partridge from PARC, Palo Alto, USA."