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Ibrahim Bahattin Vidinli

dblp:147/9149 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

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

Databases, data management, data science and information retrieval · 2 · 1 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%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › web search
educational search		 0.212014
How k-12 students search for learning?: analysis of an educational search engine log · SIGIR 2014
Information retrieval
query log analysis		 0.212014
How k-12 students search for learning?: analysis of an educational search engine log · SIGIR 2014
Computing education
educational technology		 0.112014
How k-12 students search for learning?: analysis of an educational search engine log · SIGIR 2014
Information retrieval › user behavior
search session analysis		 0.112014
How k-12 students search for learning?: analysis of an educational search engine log · SIGIR 2014
Information retrieval
user behavior		 0.112014
How k-12 students search for learning?: analysis of an educational search engine log · SIGIR 2014

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

log analysis · 0.4
YearPublicationVenuePosition
2016 New query suggestion framework and algorithms: A case study for an educational search engine
Ibrahim Bahattin Vidinli, Rifat Ozcan
 Inf. Process. Manag.1
2014 How k-12 students search for learning?: analysis of an educational search engine log
abstract
In this study, we analyze an educational search engine log for shedding light on K-12 students' search behavior in a learning environment. We specially focus on query, session, user and click characteristics and compare the trends to the findings in the literature for general web search engines. Our analysis helps understanding how students search with the purpose of learning in an educational vertical, and reveals new directions to improve the search performance in the education domain.
Arif Usta, Ismail Sengör Altingövde, Ibrahim Bahattin Vidinli, Rifat Ozcan, Özgür Ulusoy
 SIGIR3