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Junte Zhang

dblp:73/6687 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2012
—ORCID · none

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

Databases, data management, data science and information retrieval · 4 · 3 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
1 paper
Information retrieval · 100%
Human-computer interaction and pervasive computing
1 paper
Usability and user experience research · 100%

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

TopicWeightPapersLastEvidence papers
Information retrieval › web search › web information retrieval › web content quality
credibility assessment		 0.112009
Improving user confidence in cultural heritage aggregated results · SIGIR 2009
Information retrieval › distributed information retrieval
result fusion		 0.112009
Improving user confidence in cultural heritage aggregated results · SIGIR 2009
Information retrieval › user behavior
user search behavior		 0.112009
Improving user confidence in cultural heritage aggregated results · SIGIR 2009
Usability and user experience research
user study		 0.012009
Improving user confidence in cultural heritage aggregated results · SIGIR 2009

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

empirical user study · 0.2
YearPublicationVenuePosition
2012 The CMDI MI Search Engine: Access to Language Resources and Tools Using Heterogeneous Metadata Schemas
Junte Zhang, Marc Kemps-Snijders, Hans Bennis
 TPDL1
2009 Improving user confidence in cultural heritage aggregated results
abstract
State of the art web search systems enable aggregation of information from many sources. Users are challenged to assess the reliability of information from different sources. We report on an empirical user study on the effect of displaying credibility ratings of multiple cultural heritage sources (e.g. museum websites, art blogs) on users' search performance and selection. The results of our online interactive study (N=122) show that when explicitly presenting these ratings, people become significantly more confident in their selection of information from aggregated results.
Junte Zhang, Alia Amin, Henriette Cramer, Vanessa Evers, Lynda Hardman
 SIGIR1
2009 Focused Search in Digital Archives
Junte Zhang, Jaap Kamps
 WISE1
2007 SWHi System Description: A Case Study in Information Retrieval, Inference, and Visualization in the Semantic Web
Ismail Fahmi, Junte Zhang, Henk Ellermann, Gosse Bouma
 ESWC2