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Personalization techniques and recommender systems [[electronic resource] /] / editors, Gulden Uchyigit, Matthew Y. Ma
| Personalization techniques and recommender systems [[electronic resource] /] / editors, Gulden Uchyigit, Matthew Y. Ma |
| Pubbl/distr/stampa | Hackensack, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (334 p.) |
| Disciplina | 004.0688 |
| Altri autori (Persone) |
MaM. Y (Matthew Y.)
UchyigitG (Gulden) |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Personal communication service systems
Recommender systems (Information filtering) Wireless communication systems |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-94811-X
9786611948115 981-279-702-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; User Modeling and Profiling; 1. Personalization-Privacy Tradeo s in Adaptive Information Access B. Smyth; 1.1. Introduction; 1.2. Case-Study 1 - Personalized Mobile Portals; 1.2.1. The challenges of mobile information access; 1.2.1.1. Mobile internet devices; 1.2.1.2. Browsing versus search on the mobile internet; 1.2.2. The click-distance problem; 1.2.3. Personalized navigation; 1.2.3.1. Pro ling the user; 1.2.3.2. Personalizing the portal; 1.2.4. Evaluation; 1.2.4.1. Click-distance reduction; 1.2.4.2. Navigation time versus content time
1.3. Case-Study 2: Personalized Web Search1.3.1. The challenges of web search; 1.3.2. Exploiting repetition and regularity in community- based web search; 1.3.3. A case-based approach to personalizing web search; 1.3.4. Evaluation; 1.3.4.1. Successful sessions; 1.3.4.2. Selection positions; 1.4. Personalization-Privacy: Striking a Balance; 1.5. Conclusions; Acknowledgments; References; BIOGRAPHY; 2. A Deep Evaluation of Two Cognitive User Models for Personalized Search F. Gasparetti and A. Micarelli; 2.1. Introduction; 2.2. Related Work; 2.3. SAM-based User Modeling Approach 2.3.1. SAM: search of associative memory2.3.2. The user modeling approach; 2.3.2.1. LTS and STS; 2.3.2.2. Sampling and Recovery; 2.3.2.3. Learning; 2.3.2.4. Interaction with Information Sources; 2.3.3. HAL-based User Modeling Approach; 2.4. Evaluation; 2.4.1. Evaluating User Models in Browsing Activities; 2.4.2. Corpus-based evaluation; 2.4.3. Precision vs. Number of Topics; 2.4.4. Precision vs. Extracted Cues; 2.4.5. Precision vs. Size of STS; 2.4.6. Precision vs. Number of Recovery Attempts; 2.5. Conclusions; References; BIOGRAPHIES 3. Unobtrusive User Modeling For Adaptive Hypermedia H. J. Holz, K. Hofmann and C. Reed3.1. Introduction; 3.1.1. User modeling in adaptive hypermedia; 3.1.2. Motivation: informal education and the user modeling effect; 3.1.3. Our solution: unobtrusive user modeling; 3.2. Approach; 3.2.1. Classi er-independent feature selection; 3.2.2. Inference design; 3.3. Field Study; 3.3.1. ACUT; 3.3.2. Measurements; 3.3.3. Feature design; 3.3.4. Data collection; 3.3.5. Self-organizing maps; 3.3.6. Revising the features; 3.4. Discussion; Acknowledgments; References; BIOGRAPHIES 4. User Modelling Sharing for Adaptive e-Learning and Intelligent Help K. Kabassi, M. Virvou and G. A. Tsihrintzis4.1. Introduction; 4.2. Description of Systems of Di erent Domains Sharing a Common User Model; 4.2.1. System for e-Learning in Atheromatosis; 4.2.2. Systems for Intelligent Help in le manipulation and e-mailing; 4.2.3. Error Diagnosis in three systems of different domains; 4.3. Common attributes for evaluating alternative actions; 4.4. Example of a user interacting with three di erent sys- tems; 4.5. User Modelling based on Web Services; 4.5.1. UM-Server's Architecture 4.5.2. UM-Server's Operation |
| Record Nr. | UNINA-9910453207203321 |
| Hackensack, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Personalization techniques and recommender systems [[electronic resource] /] / editors, Gulden Uchyigit, Matthew Y. Ma
| Personalization techniques and recommender systems [[electronic resource] /] / editors, Gulden Uchyigit, Matthew Y. Ma |
| Pubbl/distr/stampa | Hackensack, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (334 p.) |
| Disciplina | 004.0688 |
| Altri autori (Persone) |
MaM. Y (Matthew Y.)
UchyigitG (Gulden) |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Personal communication service systems
Recommender systems (Information filtering) Wireless communication systems |
| ISBN |
1-281-94811-X
9786611948115 981-279-702-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; User Modeling and Profiling; 1. Personalization-Privacy Tradeo s in Adaptive Information Access B. Smyth; 1.1. Introduction; 1.2. Case-Study 1 - Personalized Mobile Portals; 1.2.1. The challenges of mobile information access; 1.2.1.1. Mobile internet devices; 1.2.1.2. Browsing versus search on the mobile internet; 1.2.2. The click-distance problem; 1.2.3. Personalized navigation; 1.2.3.1. Pro ling the user; 1.2.3.2. Personalizing the portal; 1.2.4. Evaluation; 1.2.4.1. Click-distance reduction; 1.2.4.2. Navigation time versus content time
1.3. Case-Study 2: Personalized Web Search1.3.1. The challenges of web search; 1.3.2. Exploiting repetition and regularity in community- based web search; 1.3.3. A case-based approach to personalizing web search; 1.3.4. Evaluation; 1.3.4.1. Successful sessions; 1.3.4.2. Selection positions; 1.4. Personalization-Privacy: Striking a Balance; 1.5. Conclusions; Acknowledgments; References; BIOGRAPHY; 2. A Deep Evaluation of Two Cognitive User Models for Personalized Search F. Gasparetti and A. Micarelli; 2.1. Introduction; 2.2. Related Work; 2.3. SAM-based User Modeling Approach 2.3.1. SAM: search of associative memory2.3.2. The user modeling approach; 2.3.2.1. LTS and STS; 2.3.2.2. Sampling and Recovery; 2.3.2.3. Learning; 2.3.2.4. Interaction with Information Sources; 2.3.3. HAL-based User Modeling Approach; 2.4. Evaluation; 2.4.1. Evaluating User Models in Browsing Activities; 2.4.2. Corpus-based evaluation; 2.4.3. Precision vs. Number of Topics; 2.4.4. Precision vs. Extracted Cues; 2.4.5. Precision vs. Size of STS; 2.4.6. Precision vs. Number of Recovery Attempts; 2.5. Conclusions; References; BIOGRAPHIES 3. Unobtrusive User Modeling For Adaptive Hypermedia H. J. Holz, K. Hofmann and C. Reed3.1. Introduction; 3.1.1. User modeling in adaptive hypermedia; 3.1.2. Motivation: informal education and the user modeling effect; 3.1.3. Our solution: unobtrusive user modeling; 3.2. Approach; 3.2.1. Classi er-independent feature selection; 3.2.2. Inference design; 3.3. Field Study; 3.3.1. ACUT; 3.3.2. Measurements; 3.3.3. Feature design; 3.3.4. Data collection; 3.3.5. Self-organizing maps; 3.3.6. Revising the features; 3.4. Discussion; Acknowledgments; References; BIOGRAPHIES 4. User Modelling Sharing for Adaptive e-Learning and Intelligent Help K. Kabassi, M. Virvou and G. A. Tsihrintzis4.1. Introduction; 4.2. Description of Systems of Di erent Domains Sharing a Common User Model; 4.2.1. System for e-Learning in Atheromatosis; 4.2.2. Systems for Intelligent Help in le manipulation and e-mailing; 4.2.3. Error Diagnosis in three systems of different domains; 4.3. Common attributes for evaluating alternative actions; 4.4. Example of a user interacting with three di erent sys- tems; 4.5. User Modelling based on Web Services; 4.5.1. UM-Server's Architecture 4.5.2. UM-Server's Operation |
| Record Nr. | UNINA-9910782270003321 |
| Hackensack, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Personalization techniques and recommender systems [[electronic resource] /] / editors, Gulden Uchyigit, Matthew Y. Ma
| Personalization techniques and recommender systems [[electronic resource] /] / editors, Gulden Uchyigit, Matthew Y. Ma |
| Pubbl/distr/stampa | Hackensack, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (334 p.) |
| Disciplina | 004.0688 |
| Altri autori (Persone) |
MaM. Y (Matthew Y.)
UchyigitG (Gulden) |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Personal communication service systems
Recommender systems (Information filtering) Wireless communication systems |
| ISBN |
1-281-94811-X
9786611948115 981-279-702-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; User Modeling and Profiling; 1. Personalization-Privacy Tradeo s in Adaptive Information Access B. Smyth; 1.1. Introduction; 1.2. Case-Study 1 - Personalized Mobile Portals; 1.2.1. The challenges of mobile information access; 1.2.1.1. Mobile internet devices; 1.2.1.2. Browsing versus search on the mobile internet; 1.2.2. The click-distance problem; 1.2.3. Personalized navigation; 1.2.3.1. Pro ling the user; 1.2.3.2. Personalizing the portal; 1.2.4. Evaluation; 1.2.4.1. Click-distance reduction; 1.2.4.2. Navigation time versus content time
1.3. Case-Study 2: Personalized Web Search1.3.1. The challenges of web search; 1.3.2. Exploiting repetition and regularity in community- based web search; 1.3.3. A case-based approach to personalizing web search; 1.3.4. Evaluation; 1.3.4.1. Successful sessions; 1.3.4.2. Selection positions; 1.4. Personalization-Privacy: Striking a Balance; 1.5. Conclusions; Acknowledgments; References; BIOGRAPHY; 2. A Deep Evaluation of Two Cognitive User Models for Personalized Search F. Gasparetti and A. Micarelli; 2.1. Introduction; 2.2. Related Work; 2.3. SAM-based User Modeling Approach 2.3.1. SAM: search of associative memory2.3.2. The user modeling approach; 2.3.2.1. LTS and STS; 2.3.2.2. Sampling and Recovery; 2.3.2.3. Learning; 2.3.2.4. Interaction with Information Sources; 2.3.3. HAL-based User Modeling Approach; 2.4. Evaluation; 2.4.1. Evaluating User Models in Browsing Activities; 2.4.2. Corpus-based evaluation; 2.4.3. Precision vs. Number of Topics; 2.4.4. Precision vs. Extracted Cues; 2.4.5. Precision vs. Size of STS; 2.4.6. Precision vs. Number of Recovery Attempts; 2.5. Conclusions; References; BIOGRAPHIES 3. Unobtrusive User Modeling For Adaptive Hypermedia H. J. Holz, K. Hofmann and C. Reed3.1. Introduction; 3.1.1. User modeling in adaptive hypermedia; 3.1.2. Motivation: informal education and the user modeling effect; 3.1.3. Our solution: unobtrusive user modeling; 3.2. Approach; 3.2.1. Classi er-independent feature selection; 3.2.2. Inference design; 3.3. Field Study; 3.3.1. ACUT; 3.3.2. Measurements; 3.3.3. Feature design; 3.3.4. Data collection; 3.3.5. Self-organizing maps; 3.3.6. Revising the features; 3.4. Discussion; Acknowledgments; References; BIOGRAPHIES 4. User Modelling Sharing for Adaptive e-Learning and Intelligent Help K. Kabassi, M. Virvou and G. A. Tsihrintzis4.1. Introduction; 4.2. Description of Systems of Di erent Domains Sharing a Common User Model; 4.2.1. System for e-Learning in Atheromatosis; 4.2.2. Systems for Intelligent Help in le manipulation and e-mailing; 4.2.3. Error Diagnosis in three systems of different domains; 4.3. Common attributes for evaluating alternative actions; 4.4. Example of a user interacting with three di erent sys- tems; 4.5. User Modelling based on Web Services; 4.5.1. UM-Server's Architecture 4.5.2. UM-Server's Operation |
| Record Nr. | UNINA-9910822824403321 |
| Hackensack, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||