All Stories

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