Adaptive faceted browser for navigation in open information spaces

Tvarožek, Michal; Bieliková, Mária

doi:10.1145/1242572.1242825

Cited by 11 publications

(8 citation statements)

References 3 publications

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“…By selecting multiple rank facets (using different document attributes), a user could adapt the result presentation towards a more personalised view of relevancy scores. This idea is also proposed in Tvarozek and Bielikova (2007), where only selected metadata fields are used to show/rank the most relevant attributes of the search results. Furthermore, the authors propose an adaptive version of their faceted browser, which provides automatic facet selection based on user preferences, global attribute relevance and inter-attribute relationships.…”

Section: Metadata-based Techniquesmentioning

confidence: 99%

A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques

Steichen

Ashman

Wade

2012

Information Processing & Management

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Abstract.A key driver for next generation web information retrieval systems is becoming the degree to which a user's search and presentation experience is adapted to individual user properties and contexts of use. Over the past decades, two parallel threads of personalisation research have emerged, one originating in the document space in the area of Personalised Information Retrieval (PIR) and the other arising from the hypertext space in the field of Adaptive Hypermedia (AH).PIR typically aims to bias search results towards more personally relevant information by modifying traditional document ranking algorithms. Such techniques tend to represent users with simplified personas (often based on historic interests), enabling the efficient calculation of personalised ranked lists. On the other hand, the field of Adaptive Hypermedia (AH) has addressed the challenge of biasing content retrieval and presentation by adapting towards multiple characteristics. These characteristics, more typically called personalisation "dimensions", include user goals or prior knowledge, enabling adaptive and personalised result compositions and navigations.The question arises as to whether it is possible to provide a comparison of PIR and AH, where the respective strengths and limitations can be exposed, but also where potential complementary affordances can be identified. This survey investigates the key techniques and impacts in the use of PIR and AH technology in order to identify such affordances and limitations. In particular, the techniques are analysed by examining key activities in the retrieval process, namely (i) query adaptation, (ii) adaptive retrieval and (iii) adaptive result composition and presentation. In each of these areas, the survey identifies individual strengths and limitations. Following this comparison of techniques, the paper also illustrates an example of a potential synergy in a hybridised approach, where adaptation can be tailored in different aspects of PIR and AH systems. Moreover, the concerns resulting from interdependencies and the respective tradeoffs of techniques are discussed, along with potential future directions and remaining challenges.

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Section: Metadata-based Techniquesmentioning

confidence: 99%

A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques

Steichen

Ashman

Wade

2012

Information Processing & Management

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“…Systems for browsing and displaying semi-structured data range from quite basic browsing facilities (allowing 12 http://champin.net/t4r/ only to navigate from one object to another) to systems including constructs such as negation [30] or nested facets [37]. Semantic MediaWiki [23] allows to embed complex queries into wiki pages, however, these queries typically represent a once-off query and do not allow for iteratively refining results.…”

Section: Related Workmentioning

confidence: 99%

VisiNav: A system for visual search and navigation on web data

Harth

2010

Journal of Web Semantics

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“…We proposed personalization, adaptation, and the use of ontologies to address the aforementioned shortcomings of "classical" faceted browsers, and to improve user orientation and guidance, and overall search efficiency [11]. The request processing of our adaptive faceted semantic browser, which allows users to navigate in a domain ontology (in OWL format) and adapts the navigation based on an automatically acquired user model [12], is shown in Figure 1.…”

Section: Personalized Faceted Navigationmentioning

confidence: 99%

Improving Semantic Search Via Integrated Personalized Faceted and Visual Graph Navigation

Tvarožek

Barla

Frivolt

et al.

SOFSEM 2008: Theory and Practice of Computer Science

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Abstract. Growing need for information retrieval, information processing, and the associated need for navigation in existing information spaces resulted in several approaches that aim to improve efficiency of the respective user tasks. However, problems related to user navigation and orientation in large open information spaces still persist possibly due to increasing demands and the imperfections of individual approaches. We propose an integrated search and navigation solution that takes advantage of the faceted browsing paradigm and visual navigation in graphs both extended with support for automatic personalization based on user context also taking advantage of a user's social network. The proposed solution is primarily evaluated in the domain of scientific publications, i.e. digital libraries, with possible extensions to other application domains.

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Adaptive faceted browser for navigation in open information spaces

Cited by 11 publications

References 3 publications

A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques

A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques

VisiNav: A system for visual search and navigation on web data

Improving Semantic Search Via Integrated Personalized Faceted and Visual Graph Navigation

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