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Semantics in adaptive and personalis...

Lops, Pasquale.

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Semantics in adaptive and personalised systems = methods, tools and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Semantics in adaptive and personalised systems/ by Pasquale Lops ... [et al.].
其他題名:	methods, tools and applications /
其他作者:	Lops, Pasquale.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xviii, 186 p. :ill., digital ;24 cm.
內容註:	Introduction -- Basics of Content Representation -- Encoding Endogenous Semantics -- Encoding Exogenous Semantics -- Adaptive and Personalized Systems based on Semantics -- Conclusions and Future Challenges -- Available Tools and Resources.
Contained By:	Springer eBooks
標題:	Semantic computing. -
電子資源:	https://doi.org/10.1007/978-3-030-05618-6
ISBN:	9783030056186

Semantics in adaptive and personalised systems = methods, tools and applications /
Semantics in adaptive and personalised systemsmethods, tools and applications /[electronic resource] :by Pasquale Lops ... [et al.]. - Cham :Springer International Publishing :2019. - xviii, 186 p. :ill., digital ;24 cm.

Introduction -- Basics of Content Representation -- Encoding Endogenous Semantics -- Encoding Exogenous Semantics -- Adaptive and Personalized Systems based on Semantics -- Conclusions and Future Challenges -- Available Tools and Resources.

This monograph gives a complete overview of the techniques and the methods for semantics-aware content representation and shows how to apply such techniques in various use cases, such as recommender systems, user profiling and social media analysis. Throughout the book, the authors provide an extensive analysis of the techniques currently proposed in the literature and cover all the available tools and libraries to implement and exploit such methodologies in real-world scenarios. The book first introduces the problem of information overload and the reasons why content-based information needs to be taken into account. Next, the basics of Natural Language Processing are provided, by describing operations such as tokenization, stopword removal, lemmatization, stemming, part-of-speech tagging, along with the main problems and issues. Finally, the book describes the different approaches for semantics-aware content representation: such approaches are split into 'exogenous' and 'endogenous' ones, depending on whether external knowledge sources as DBpedia or geometrical models and distributional semantics are used, respectively. To conclude, several successful use cases and an extensive list of available tools and resources to implement the approaches are shown. Semantics in Adaptive and Personalised Systems definitely fills the gap between the extensive literature on content-based recommender systems, natural language processing, and the different types of semantics-aware representations.

ISBN: 9783030056186

Standard No.: 10.1007/978-3-030-05618-6doiSubjects--Topical Terms:

1067496
Semantic computing.

LC Class. No.: QA76.5913

Dewey Class. No.: 006

Semantics in adaptive and personalised systems = methods, tools and applications /
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245 0 0 $a Semantics in adaptive and personalised systems $h [electronic resource] : $b methods, tools and applications / $c by Pasquale Lops ... [et al.].
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505 0 $a Introduction -- Basics of Content Representation -- Encoding Endogenous Semantics -- Encoding Exogenous Semantics -- Adaptive and Personalized Systems based on Semantics -- Conclusions and Future Challenges -- Available Tools and Resources.
520 $a This monograph gives a complete overview of the techniques and the methods for semantics-aware content representation and shows how to apply such techniques in various use cases, such as recommender systems, user profiling and social media analysis. Throughout the book, the authors provide an extensive analysis of the techniques currently proposed in the literature and cover all the available tools and libraries to implement and exploit such methodologies in real-world scenarios. The book first introduces the problem of information overload and the reasons why content-based information needs to be taken into account. Next, the basics of Natural Language Processing are provided, by describing operations such as tokenization, stopword removal, lemmatization, stemming, part-of-speech tagging, along with the main problems and issues. Finally, the book describes the different approaches for semantics-aware content representation: such approaches are split into 'exogenous' and 'endogenous' ones, depending on whether external knowledge sources as DBpedia or geometrical models and distributional semantics are used, respectively. To conclude, several successful use cases and an extensive list of available tools and resources to implement the approaches are shown. Semantics in Adaptive and Personalised Systems definitely fills the gap between the extensive literature on content-based recommender systems, natural language processing, and the different types of semantics-aware representations.
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