All Stories

  1. Prediction of the next user location using personal tracking data
  2. Comparación de respuestas generadas por IAG y un profesor en la resolución de un problema geométrico con GeoGebra
  3. Editorial
  4. Análisis y comparación de respuestas aportadas por IA generativa y por profesores de matemática a un problema de geometría euclidiana
  5. Integrating Social Relationships and Personality into MAS-Based Group Recommendations
  6. La evaluación en educación matemática: aportes de chatbots y futuros profesores de matemática
  7. Are online harm spreaders birds of the same feather? A multi-dimensional study on the characteristics of social media harm spreaders
  8. Fractal de Koch: análisis de respuestas de IA generativa y un profesor de matemática
  9. On the moral intuitions of fake news spreaders
  10. A Lightweight Approach for Building User Mobility Profiles
  11. Haven’t I just Listened to This?: Exploring Diversity in Music Recommendations
  12. Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic
  13. OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems
  14. I Want to Break Free! Recommending Friends from Outside the Echo Chamber
  15. Influence and performance of user similarity metrics in followee prediction
  16. Un modelo híbrido de recomendación de etiquetas para sistemas de anotación social
  17. Workshop on Online Misinformation- and Harm-Aware Recommender Systems
  18. An Analysis of Distributed Programming Models and Frameworks for Large-scale Graph Processing
  19. Multi-view community detection with heterogeneous information from social media data
  20. A study of neighbour selection strategies for POI recommendation in LBSNs
  21. A Social-aware online short-text feature selection technique for social media
  22. DPM: A novel distributed large-scale social graph processing framework for link prediction algorithms
  23. SMArtOp: A Java library for distributing high-dimensional sparse-matrix arithmetic operations
  24. Selecting and weighting users in collaborative filtering based POI recommendation
  25. Consensus community detection for multi-dimensional networks
  26. Learning and adapting user criteria for recommending followees in social networks
  27. Mining Social Web Service Repositories for Social Relationships to Aid Service Discovery
  28. A multi-core computing approach for large-scale multi-label classification
  29. On the Impact of Neighborhood Selection Strategies for Recommender Systems in LBSNs
  30. Persisting big-data: The NoSQL landscape
  31. Short-text feature construction and selection in social media data: a survey
  32. A distributed approach for accelerating sparse matrix arithmetic operations for high-dimensional feature selection
  33. An Empirical Comparison Of Feature Selection Methods In Problem Transformation Multi-label Classification
  34. Personality-aware followee recommendation algorithms: An empirical analysis
  35. An Evaluation of Distributed Processing Models for Random Walk-Based Link Prediction Algorithms Over Social Big Data
  36. Exploring the role of personality traits in followee recommendation
  37. Folksonomy-Based Recommender Systems: A State-of-the-Art Review
  38. An architecture and platform for developing distributed recommendation algorithms on large-scale social networks
  39. Semantic grounding of social annotations for enhancing resource classification in folksonomies
  40. Publication practices in the Argentinian Computer Science community: a bibliometric perspective
  41. Clasificación multi-etiqueta utilizando computación distribuida
  42. Sparse-matrix arithmetic operations in computer clusters: A text feature selection application
  43. NLP-based faceted search: Experience in the development of a science and technology search engine
  44. How do personality traits affect communication among users in online social networks?
  45. A Programming Interface and Platform Support for Developing Recommendation Algorithms on Large-Scale Social Networks
  46. Leveraging Semantic Similarity for Folksonomy-Based Recommendation
  47. Followee recommendation based on text analysis of micro-blogging activity
  48. Mining interests for user profiling in electronic conversations
  49. Evaluating tag filtering techniques for web resource classification in folksonomies
  50. One‐class support vector machines for personalized tag‐based resource classification in social bookmarking systems
  51. Evaluating Term Weighting Schemes for Content-based Tag Recommendation in Social Tagging Systems
  52. Functional grouping of natural language requirements for assistance in architectural software design
  53. Can Your Friends Help You to Find Interesting Multimedia Content on Web 2.0?
  54. Intelligent Analysis of User Interactions in a Collaborative Software Engineering Context
  55. Comparing One-Class Classification Algorithms for Finding Interesting Resources in Social Bookmarking Systems
  56. Topology-Based Recommendation of Users in Micro-Blogging Communities
  57. Enabling topic-level trust for collaborative information sharing
  58. Mining textual requirements to assist architectural software design: a state of the art review
  59. Identification of non-functional requirements in textual specifications: A semi-supervised learning approach
  60. Integrating user modeling approaches into a framework for recommender agents
  61. Semi-Supervised Classification of Non-Functional Requirements: An Empirical Analysis
  62. Exploiting the Social Capital of Folksonomies for Web Page Classification
  63. Supporting the discovery and labeling of non-taxonomic relationships in ontology learning
  64. COLLABORATIVE WEB SEARCH BASED ON USER INTEREST SIMILARITY
  65. Hybrid Content and Tag-based Profiles for Recommendation in Collaborative Tagging Systems
  66. Exploiting User Interests to Characterize Navigational Patterns in Web Browsing Assistance
  67. Interest Drifts in User Profiling: A Relevance-Based Approach and Analysis of Scenarios
  68. Boosting Trust in Collaborative Recommender Agents with Interest Similarity
  69. Modeling user interests by conceptual clustering
  70. Learning styles' recognition in e‐learning environments with feed‐forward neural networks
  71. A genetic algorithm approach to recognise students' learning styles
  72. Personal assistants: Direct manipulation vs. mixed initiative interfaces
  73. User profiling in personal information agents: a survey
  74. User Profiling for Web Page Filtering
  75. Interface agents personalizing Web-based tasks
  76. Assessing the quality of academic websites: a case study
  77. Modeling Interests of Web Users for Recommendation: A User Profiling Approach and Trends
  78. Learning Browsing Patterns for Context-Aware Recommendation