Semantics in Adaptive and Personalised Systems : Methods, Tools and Applications /: Methods, Tools and Applications. (2019)
- Record Type:
- Book
- Title:
- Semantics in Adaptive and Personalised Systems : Methods, Tools and Applications /: Methods, Tools and Applications. (2019)
- Main Title:
- Semantics in Adaptive and Personalised Systems : Methods, Tools and Applications
- Further Information:
- Note: Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro.
- Other Names:
- Lops, Pasquale
Musto, Cataldo
Narducci, Fedelucio
Semeraro, Giovanni - Contents:
- Intro; Foreword; Preface; Contents; Acronyms; List of Figures; 1 Introduction; 1.1 Data Explosion and Information Overload; 1.2 Intelligent Information Access; 1.2.1 Information Retrieval and Information Filtering; 1.2.2 Recommender Systems; 1.3 Why Do We Need Content?; 1.3.1 Tackling the Issues of Collaborative Filtering; 1.3.2 Feed and Follow Recent Trends; 1.4 Why Do We Need Semantics?; References; 2 Basics of Content Representation; 2.1 Pipeline for Text Processing; 2.1.1 Lexical Analysis; 2.1.2 Syntactic Analysis; 2.2 Vector Space Model; 2.3 Semantics-Aware Content Representation 4.3.2 Use of Linked Open DataReferences; 5 Adaptive and Personalized Systems Based on Semantics; 5.1 Semantics-Aware Recommender Systems; 5.1.1 Approaches Based on Endogenous Semantics; 5.1.2 Approaches Based on Exogenous Semantics; 5.1.3 Semantics-Aware User Profiling Techniques; 5.2 Semantics-Aware Social Media Analysis; 5.2.1 L'Aquila Social Urban Network; 5.2.2 The Italian Hate Map; 5.3 New Trends and Challenges; 5.3.1 Cross-Lingual Recommendations; 5.3.2 Conversational Recommender Systems; 5.3.3 Explaining Recommendations; 5.3.4 Serendipitous Recommendations; References 6 Conclusions and Future Challenges6.1 Conclusions; 6.2 Future Challenges; References; Appendix Appendix Available Tools and Resources; A.1 Libraries and APIs; A.1.1 Libraries for Natural Language Processing; A.1.2 Libraries for Encoding Endogenous Semantics; A.1.3 Libraries for Encoding Exogenous Semantics; A.2 DatasetsIntro; Foreword; Preface; Contents; Acronyms; List of Figures; 1 Introduction; 1.1 Data Explosion and Information Overload; 1.2 Intelligent Information Access; 1.2.1 Information Retrieval and Information Filtering; 1.2.2 Recommender Systems; 1.3 Why Do We Need Content?; 1.3.1 Tackling the Issues of Collaborative Filtering; 1.3.2 Feed and Follow Recent Trends; 1.4 Why Do We Need Semantics?; References; 2 Basics of Content Representation; 2.1 Pipeline for Text Processing; 2.1.1 Lexical Analysis; 2.1.2 Syntactic Analysis; 2.2 Vector Space Model; 2.3 Semantics-Aware Content Representation 4.3.2 Use of Linked Open DataReferences; 5 Adaptive and Personalized Systems Based on Semantics; 5.1 Semantics-Aware Recommender Systems; 5.1.1 Approaches Based on Endogenous Semantics; 5.1.2 Approaches Based on Exogenous Semantics; 5.1.3 Semantics-Aware User Profiling Techniques; 5.2 Semantics-Aware Social Media Analysis; 5.2.1 L'Aquila Social Urban Network; 5.2.2 The Italian Hate Map; 5.3 New Trends and Challenges; 5.3.1 Cross-Lingual Recommendations; 5.3.2 Conversational Recommender Systems; 5.3.3 Explaining Recommendations; 5.3.4 Serendipitous Recommendations; References 6 Conclusions and Future Challenges6.1 Conclusions; 6.2 Future Challenges; References; Appendix Appendix Available Tools and Resources; A.1 Libraries and APIs; A.1.1 Libraries for Natural Language Processing; A.1.2 Libraries for Encoding Endogenous Semantics; A.1.3 Libraries for Encoding Exogenous Semantics; A.2 Datasets and Resources; A.2.1 Resources to Feed Endogenous Approaches; A.2.2 Resources to feed Exogenous Approaches; References … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource (201 pages)
- Subjects:
- 006
Semantic computing
Adaptive computing systems
Adaptive computing systems
Semantic computing
Electronic books - Languages:
- English
- ISBNs:
- 9783030056186
- Related ISBNs:
- 303005618X
9783030056179 - Notes:
- Note: References3 Encoding Endogenous Semantics; 3.1 Distributional Semantics Models; 3.2 Word Embedding Techniques; 3.2.1 Latent Semantic Analysis; 3.2.2 Random Indexing; 3.2.3 Word2Vec; 3.3 Explicit Semantic Analysis; References; 4 Encoding Exogenous Semantics; 4.1 Overview of Structured Knowledge Sources; 4.1.1 WordNet; 4.1.2 BabelNet: An Encyclopedic Dictionary; 4.1.3 Linked Open Data and DBpedia; 4.1.4 Wikidata; 4.2 Linking Item Features to Concepts; 4.2.1 Word Sense Disambiguation; 4.2.2 Entity Linking; 4.3 Linking Items to a Knowledge Graph; 4.3.1 Use of Ontologies
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