User modeling, adaptation, and personalization : 21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013 : proceedings /
This book constitutes the thoroughly refereed proceedings of the 21st International Conference on User Modeling, Adaption, and Personalization, held in Rome, Italy, in June 2013. The 21 long and 7 short papers of the research paper track were carefully reviewed and selected from numerous submissions...
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Corporate Authors: | ; |
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Group Author: | ; ; ; |
Published: |
Springer,
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Publisher Address: | Heidelberg : |
Publication Dates: | [2013] |
Literature type: | eBook |
Language: | English |
Series: |
Lecture notes in computer science,
7899 LNCS sublibrary. SL 3, Information systems and application, incl. Internet/Web and HCI |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-3-642-38844-6 |
Summary: |
This book constitutes the thoroughly refereed proceedings of the 21st International Conference on User Modeling, Adaption, and Personalization, held in Rome, Italy, in June 2013. The 21 long and 7 short papers of the research paper track were carefully reviewed and selected from numerous submissions. The papers cover the following topics: recommender systems, student modeling, social media and teams, human cognition, personality, privacy, web curation and user profiles, travel and mobile applications, and systems for elderly and disabled individuals. |
Item Description: |
International conference proceedings. Includes author index. |
Carrier Form: | 1 online resource (xxv, 416 pages) : illustrations (black and white) |
ISBN: |
9783642388446 (electronic book) 3642388442 (electronic book) |
Index Number: | QA76 |
CLC: | TP11-532 |
Contents: |
Full Research Papers. Opinion-Driven Matrix Factorization for Rating Prediction / Interaction Based Content Recommendation in Online Communities / What Recommenders Recommend - An Analysis of Accuracy, Popularity, and Sales Diversity Effects / A Framework for Trust-Based Multidisciplinary Team Recommendation / Semantic Aggregation and Zooming of User Viewpoints in Social Media Content / Learning Likely Locations / Scrutable User Models and Personalised Item Recommendation in Mobile Lifestyle Applications / Days of Our Lives: Assessing Day Similarity from Location Traces / Studying the Effect of Human Cognition on User Authentication Tasks / Modeling a Graph Viewer's Effort in Recognizing Messages Conveyed by Grouped Bar Charts / Evaluation of Attention Levels in a Tetris Game Using a Brain Computer Interface / Monitoring Personal Safety by Unobtrusively Detecting Unusual Periods of Inactivity / Recommendation with Differential Context Weighting / Exploiting the Semantic Similarity of Contextual Situations for Pre-filtering Recommendation / Combining Collaborative Filtering and Text Similarity for Expert Profile Recommendations in Social Websites / Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour / Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science / Short Research Papers. Inform or Flood: Estimating When Retweets Duplicate / Predicting Users' Preference from Tag Relevance / Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications / Cross-Domain Collaborative Recommendation in a Cold-Start Context: The Impact of User Profile Size on the Quality of Recommendation / Personalized Access to Scientific Publications: from Recommendation to Explanation / PoliSpell: An Adaptive Spellchecker and Predictor for People with Dyslexia / A Framework for Privacy-Aware User Data Trading / Industry Papers. Understanding Email Writers: Personality Prediction from Email Messages / Posters and Demo Papers. Modeling Emotions with Social Tags / Unobtrusive Monitoring of Knowledge Workers for Stress Self-regulation / Topolor: A Social Personalized Adaptive E-Learning System / RES: A Personalized Filtering Tool for CiteSeerX Queries Based on Keyphrase Extraction / Generating a Personalized UI for the Car: A User-Adaptive Rendering Architecture / Eliciting Affective Recommendations to Support Distance Learning Students / Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles / Modelling Users' Affect in Job Interviews: Technological Demo / Multilingual vs. Monolingual User Models for Personalized Multilingual Information Retrieval / A Prismatic Cognitive Layout for Adapting Ontologies / Doctoral Consortium. Evaluation of Cross-Domain News Article Recommendations / Suggesting Query Revisions in Conversational Recommender Systems / Mining Semantic Data, User Generated Contents, and Contextual Information for Cross-Domain Recommendation / A POV-Based User Model: From Learning Preferences to Learning Personal Ontologies / Design and Evaluation of an Affective BCI-Based Adaptive User Application: A Preliminary Case Study / Inclusive Personalized e-Learning Based on Affective Adaptive Support / Tabbed Browsing Behavior as a Source for User Modeling / Grasping the Long Tail: Personalized Search for Cultural Heritage Annotators / Enforcing Privacy in Secondary User Information Sharing and Usage / Modeling Programming Skills of Students in an Educational Recommender System / Socially Adaptive Electronic Partners for Socio-geographical Support / An Adaptive Spellchecker and Predictor for People with Dyslexia / |