Collaborative annotation-driven adaptation in web portals

Nauerz, Andreas; Pietschmann, Stefan; Pietzsch, Rene

doi:10.1145/1286240.1286283

Cited by 4 publications

(5 citation statements)

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“…User tags can be used as a new relevant feedback for user modeling (e.g., Schwarzkopf et al 2007;Nauerz et al 2007;Wang et al 2008;Szomszor et al 2008). This is perhaps the most important result of the analysis.…”

Section: Discussionmentioning

confidence: 99%

“…The approach is under development in iCITY , where these features have to be combined with a user model represented as an RDF ontology, where the user interests are an overlay of the domain ontology and the user tags are an overlay of tagged instances of the domain. Nauerz et al (2007) also sketch ways to infer users' interests, preferences and knowledge from their annotations. They also introduce the idea of building or refining user models by using user-to-user annotations, which can be useful to model passive users.…”

Section: Weak Semantic Techniquesmentioning

confidence: 99%

“…Finally, we recall that content adaptation can also be improved indirectly, by improving user modeling (as seen, for example, in Schwarzkopf et al 2007;Nauerz et al 2007;) and by adopting tag recommendation techniques to improve the quality of tags entered, and thus the effectiveness of retrieval and filtering (as we will see in Sect. 7.3.2).…”

Section: Weak Semantic Techniquesmentioning

confidence: 99%

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Adaptive systems in the era of the semantic and social web, a survey

Torre

2009

User Model User-Adap Inter

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In this paper we provide a classification of adaptive systems with respect to the kind of semantic technology they exploit to accomplish or improve specific adaptation and user modeling tasks. This classification is based on a distinction between strong semantic techniques and weak semantic techniques. The former are techniques based on the Semantic Web, while the latter regard technologies that, in different ways, annotate resources, enriching their meaning. This second category includes, in particular, Web 2.0 social annotations and mixed approaches between social annotations and Semantic Web techniques. While the impact of the Semantic Web on adaptive systems has been discussed in several survey papers, the potential of weak semantic technologies has, so far, received little attention. The aim of this analysis is to fill this gap. Therefore, we will discuss contributions and limits of both approaches, but we will focus special attention on weak semantic adaptive systems.

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Section: Discussionmentioning

confidence: 99%

Section: Weak Semantic Techniquesmentioning

confidence: 99%

Section: Weak Semantic Techniquesmentioning

confidence: 99%

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Adaptive systems in the era of the semantic and social web, a survey

Torre

2009

User Model User-Adap Inter

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“…User Adaptive Interactive Systems normally include user feedback (R3) as a support function [20]. Adaptive Hypermedia studies also use user annotation (R4) for adaptations (e.g., [21]). In Intelligent Tutoring Systems, explanations (R2) are presented using the user model to complement the learning material.…”

Section: State Of the Artmentioning

confidence: 99%

Process support for context-based adaptations in a collaboration environment

Hussain

Haake

2010

2010 International Symposium on Collaborative Technologies and Systems

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Making collaborative work environments fit the needs of changing collaboration situations is currently supported by collaborative tailoring or customization approaches requiring end-users to actively take initiative of tailoring or customization. We propose to avoid this overhead by (1) context-based adaptations of collaboration environments and (2) supporting a process model guiding the interaction among users when dealing with context-based adaptations. Design requirements for supporting technology needed to perform such interactions in a distributed team are derived from this process model. Pluralistic usability walkthroughs with a prototype implementation of our approach show that end-users can use our approach to deal with context-based adaptations and assess it as beneficial.

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“…They simply suggest that this profile can be used for recommendation, making use of techniques such as collaborative filtering or case-based reasoning. Nauerz et al (2007) propose a similar approach sketching some similarity metrics aimed at modeling users and providing recommendations.…”

Section: Related Workmentioning

confidence: 99%

Tag-based user modeling for social multi-device adaptive guides

Carmagnola

Cena

Console

et al. 2008

User Model User-Adap Inter

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Abstract.This paper aims to demonstrate that the principles of adaptation and user modeling, especially social annotation, can be integrated fruitfully with those of the Web 2.0 paradigm and thereby enhance in the domain of cultural heritage. We propose a framework for improving recommender systems through exploiting the users tagging activity. We maintain that Web 2.0's participative features can be exploited by adaptive web-based systems in order to enrich and extend the user model, improve social navigation and enrich information from a bottom-up perspective. Thus our approach stresses social annotation as a new and powerful kind of feedback and as a way to infer knowledge about users. The prototype implementation of our framework in the domain of cultural heritage is named iCITY. It is serving to demonstrate the validity of our approach and to highlight the benefits of this approach specifically for cultural heritage. iCITY is an adaptive, social, multi-device recommender guide that provides information about the cultural resources and events promoting the cultural heritage in the city of Torino. Our paper first describes this system and then discusses the results of a set of evaluations that were carried out at different stages of the systems development and aimed at validating the framework and implementation of this specific prototype. In particular, we carried out a heuristic evaluation and two sets of usability tests, aimed at checking the usability of the user interface, specifically of the adaptive behavior of the system. Moreover, we conducted evaluations aimed at investigating the role of tags in the definition of the user model and the impact of tags on the accuracy of recommendations. Our results are encouraging.

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Collaborative annotation-driven adaptation in web portals

Cited by 4 publications

References 0 publications

Adaptive systems in the era of the semantic and social web, a survey

Adaptive systems in the era of the semantic and social web, a survey

Process support for context-based adaptations in a collaboration environment

Tag-based user modeling for social multi-device adaptive guides

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