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Yixing Sun

dblp:13/4997 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 4 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
2 papers
Information retrieval · 100%
Computer graphics and multimedia
2 papers
Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › document processing › document analysis
document layout analysis
0.122004
Design of an e-book user interface and visualizations to support reading for comprehension · SIGIR 2004
Discovering and representing the contextual and narrative structure of e-books to support reading and comprehension (abstract only) · SIGIR 2004
Information retrieval › text analysis › topic analysis
topic detection and tracking
0.012004
Discovering and representing the contextual and narrative structure of e-books to support reading and comprehension (abstract only) · SIGIR 2004
Visualization and visual analytics
text visualization
0.022004
Design of an e-book user interface and visualizations to support reading for comprehension · SIGIR 2004
Discovering and representing the contextual and narrative structure of e-books to support reading and comprehension (abstract only) · SIGIR 2004

Methods — techniques the papers use, named apart from their topics

information retrieval techniques · 0.1topic tracking · 0.1topic detection · 0.1
YearPublicationVenuePosition
2004 Discovering and representing the contextual and narrative structure of e-books to support reading and comprehension (abstract only)
abstract
A person reading a book needs to build an understanding based on the available textual materials. As a result of a survey of users' reading behaviours and of existing e-Book user interfaces, we found that most of these interfaces provide poor support for the actual processes of reading and comprehension. In particular, there is generally minimal support for understanding the overall structure (or contextual structure) and the narrative structure of a book. We propose adapting topic tracking and detection techniques to discover the narrative threads within a book, and hence its narrative structure. The contextual and narrative structures will be presented to the user through purpose-designed visualisations, which will be integrated and linked within a newly developed e-Book browser. We have chosen to use the Bible as our test corpus, as it has a rich narrative structure, and relatively complex contextual structure. Evaluation of the interface, and its components, will be done through field studies involving actual readers of the Bible, to assess the effectiveness of the user interface in enhancing a user's experience.
Yixing Sun
SIGIR1
2004 Design of an e-book user interface and visualizations to support reading for comprehension
abstract
Current e-Book browsers provide minimal support for comprehending the organization, narrative structure, and themes, of large complex books. In order to build an understanding of such books, readers should be provided with user interfaces that present, and relate, the organizational, narrative and thematic structures. We propose adapting information retrieval techniques for the purpose of discovering these structures, and sketch three distinctive visualizations for presenting these structures to the e-Book reader. These visualizations are presented within an initial design for an e-Book browser.
Yixing Sun, David J. Harper, Stuart N. K. Watt
SIGIR1
2004 Within-Document Retrieval: A User-Centred Evaluation of Relevance Profiling
David J. Harper, Ivan Koychev, Yixing Sun, Iain Pirie
Inf. Retr.3
2003 Query-Based Document Skimming: A User-Centred Evaluation of Relevance Profiling
David J. Harper, Ivan Koychev, Yixing Sun
ECIR3