Abstract is missing.
- Killing the Hyperlink, Killing the Web: The Shift from Library-Internet to Television-InternetHossein Derakhshan. 1 [doi]
- The Life and Times of Information in NetworksLada A. Adamic. 3 [doi]
- The Past, the Present, and the FutureSandra Carberry. 5 [doi]
- Analyzing and Predicting Task RemindersDavid Graus, Paul N. Bennett, Ryen W. White, Eric Horvitz. 7-15 [doi]
- Identifying Grey Sheep Users in Collaborative Filtering: A Distribution-Based TechniqueBenjamin Gras, Armelle Brun, Anne Boyer. 17-26 [doi]
- On the Value of Reminders within E-Commerce RecommendationsLukas Lerche, Dietmar Jannach, Malte Ludewig. 27-35 [doi]
- Reinforcement Learning: the Sooner the Better, or the Later the Better?Shitian Shen, Min Chi. 37-44 [doi]
- Automatic Teacher Modeling from Live Classroom AudioPatrick J. Donnelly, Nathan Blanchard, Borhan Samei, Andrew McGregor Olney, Xiaoyi Sun, Brooke Ward, Sean Kelly, Martin Nystrand, Sidney K. D'Mello. 45-53 [doi]
- Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner ActivitiesMichael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Ryan Shaun Joazeiro de Baker, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell. 55-63 [doi]
- Gender Differences in Facial Expressions of Affect During LearningAlexandria Katarina Vail, Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. 65-73 [doi]
- Gender Difference in the Credibility Perception of Mobile Websites: A Mixed Method ApproachKiemute Oyibo, Yusuf Sahabi Ali, Julita Vassileva. 75-84 [doi]
- Personalizing Reminders to Personality for Melanoma Self-checkingKirsten A. Smith, Matt Dennis, Judith Masthoff. 85-93 [doi]
- Harnessing Crowdsourced Recommendation Preference Data from Casual GameplayBarry Smyth, Rachael Rafter, Sam Banks. 95-104 [doi]
- Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link RecommendationsGuangyuan Piao, John G. Breslin. 105-109 [doi]
- Modelling User Collaboration in Social Networks Using Edits and CommentsIfeoma Adaji, Julita Vassileva. 111-114 [doi]
- Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective FeaturesJonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli. 115-119 [doi]
- On the Impact of Personality in Massive Open Online LearningGuanliang Chen, Dan Davis, Claudia Hauff, Geert-Jan Houben. 121-130 [doi]
- Adaptive Training Environment without Prior Knowledge: Modeling Feedback Selection as a Multi-armed Bandit ProblemRémy Frenoy, Yann Soullard, Indira Thouvenin, Olivier Gapenne. 131-139 [doi]
- A Framework for Dynamic Knowledge Modeling in Textbook-Based LearningYun Huang, Michael Yudelson, Shuguang Han, Daqing He, Peter Brusilovsky. 141-150 [doi]
- Modeling and Predicting User Actions in Recommender SystemsTural Gurbanov, Francesco Ricci, Meinhard Ploner. 151-155 [doi]
- Incorporating Student Response Time and Tutor Instructional Interventions into Student ModelingChen Lin, Shitian Shen, Min Chi. 157-161 [doi]
- An Eye-Tracking Study: Implication to Implicit Critiquing Feedback Elicitation in Recommender SystemsLi Chen, Feng Wang. 163-167 [doi]
- Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive ControlTim Donkers, Benedikt Loepp, Jürgen Ziegler 0001. 169-173 [doi]
- Eliciting Users' Attitudes toward Smart DevicesKai Zhan, Ingrid Zukerman, Masud Moshtaghi, Gwyneth Rees. 175-184 [doi]
- Interactive Modeling of Concept Drift and Errors in Relevance FeedbackAntti Kangasrääsiö, Yi Chen, Dorota Glowacka, Samuel Kaski. 185-193 [doi]
- Relating Newcomer Personality to Survival and Activity in Recommender SystemsRaghav Pavan Karumur, Joseph A. Konstan. 195-205 [doi]
- Plate and Prejudice: Gender Differences in Online CookingMarkus Rokicki, Eelco Herder, Tomasz Kusmierczyk, Christoph Trattner. 207-215 [doi]
- Effect of Different Implicit Social Networks on Recommending Research PapersShaikhah Alotaibi, Julita Vassileva. 217-221 [doi]
- Trust and Reliance Based on System AccuracyKun Yu, Shlomo Berkovsky, Dan Conway, Ronnie Taib, Jianlong Zhou, Fang Chen. 223-227 [doi]
- Semantics-aware Graph-based Recommender Systems Exploiting Linked Open DataCataldo Musto, Pasquale Lops, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro. 229-237 [doi]
- Lifestyle Recommendations for Hypertension through Rasch-based Feasibility ModelingMustafa Radha, Martijn C. Willemsen, Mark Boerhof, Wijnand A. IJsselsteijn. 239-247 [doi]
- User-Oriented Context SuggestionYong Zheng, Bamshad Mobasher, Robin Burke. 249-258 [doi]
- Modeling Individual Users' Responsiveness to Maximize Recommendation ImpactMasahiro Sato, Hidetaka Izumo, Takashi Sonoda. 259-267 [doi]
- Recommendations with Optimal Combination of Feature-Based and Item-Based PreferencesMona Nasery, Matthias Braunhofer, Francesco Ricci. 269-273 [doi]
- Moodplay: Interactive Mood-based Music Discovery and RecommendationIvana Andjelkovic, Denis Parra, John O'Donovan. 275-279 [doi]
- Biases in Automated Music Playlist Generation: A Comparison of Next-Track Recommending TechniquesDietmar Jannach, Iman Kamehkhosh, Geoffray Bonnin. 281-285 [doi]
- Exploring Music Diversity Needs Across CountriesBruce Ferwerda, Andreu Vall, Marko Tkalcic, Markus Schedl. 287-288 [doi]
- An Experimental Study in Cross-Representation Mediation of User ModelsFederica Cena, Cristina Gena, Claudia Picardi. 289-290 [doi]
- Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC RecommendationsGuangyuan Piao, John G. Breslin. 291-292 [doi]
- Tell Me What You See, I Will Tell You What You RememberFlorian Marchal, Sylvain Castagnos, Anne Boyer. 293-294 [doi]
- Where's Your Mind At?: Video-Based Mind Wandering Detection During Film ViewingAngela Stewart, Nigel Bosch, Huili Chen, Patrick J. Donnelly, Sidney K. D'Mello. 295-296 [doi]
- User-User Relationship Migration Observed in Communication ActivityShuhei Yamamoto, Noriko Kando, Tetsuji Satoh. 297-298 [doi]
- Effective Recommendation with Category HierarchyZhu Sun, Guibing Guo, Jie Zhang. 299-300 [doi]
- Modeling User Exploration and Boundary Testing in Digital Learning GamesV. Elizabeth Owen, Gabriella Anton, Ryan Baker. 301-302 [doi]
- Agent-Based Personalisation and User Modeling for Personalised Educational GamesMarieke M. M. Peeters, Karel van den Bosch, John-Jules Ch. Meyer, Mark A. Neerincx. 303-304 [doi]
- TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit FeedbackHui Huai Qiu, Guibing Guo, Jie Zhang, Zhu Sun, Hai Thanh Nguyen, Yun Liu. 305-306 [doi]
- Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map ExperienceCataldo Musto, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops. 307-308 [doi]
- From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated ReviewsRuihai Dong, Barry Smyth. 309-310 [doi]
- Internal & External Attributions for Emotions Within an ITSNaomi Wixon, Sarah E. Schultz, Kasia Muldner, Danielle Allessio, Winslow Burleson, Beverly Park Woolf, Ivon Arroyo. 311-312 [doi]
- Adaptive Exercise Selection for an Intelligent Tutoring SystemJuliet Okpo. 313-316 [doi]
- Detecting Student Engagement: Human Versus MachineNigel Bosch. 317-320 [doi]
- Designing Culture-based Persuasive Technology to Promote Physical Activity among University StudentsKiemute Oyibo. 321-324 [doi]
- Deeper Knowledge Tracing by Modeling Skill Application Context for Better Personalized LearningYun Huang. 325-328 [doi]
- Open Social Learner Models for Self-Regulated Learning and Learning MotivationJulio Guerra. 329-332 [doi]
- Towards Comprehensive User Modeling on the Social Web for Personalized Link RecommendationsGuangyuan Piao. 333-336 [doi]
- Picture-based Approach to Group Recommender Systems in the E-Tourism DomainAmra Delic. 337-340 [doi]
- The New Challenges when Modeling Context through Diversity over Time in Recommender SystemsAmaury L'Huillier, Sylvain Castagnos, Anne Boyer. 341-344 [doi]
- Enhancing Personalized Document Ranking using Social InformationNawal Ould Amer. 345-348 [doi]