Information retrieval, Artificial intelligence, World Wide Web, Language model and Set are his primary areas of study. His Information retrieval research is multidisciplinary, incorporating perspectives in Representation, Entity linking and Information needs. His research integrates issues of Machine learning and Natural language processing in his study of Artificial intelligence.
His work on The Internet as part of general World Wide Web research is frequently linked to Industrial research, Commonwealth and Enterprise data management, bridging the gap between disciplines. His biological study deals with issues like Legal expert system, which deal with fields such as Probabilistic logic. His study explores the link between Semantic search and topics such as Data set that cross with problems in Knowledge base.
Krisztian Balog mostly deals with Information retrieval, World Wide Web, Knowledge base, Ranking and Artificial intelligence. His study on Semantic search is often connected to Focus as part of broader study in Information retrieval. His work carried out in the field of World Wide Web brings together such families of science as Language model, Field and Service.
His Knowledge base research incorporates themes from Interpretation, Natural language and Table. His research in Ranking intersects with topics in Query language, Web search query, Web query classification and Relevance. The study incorporates disciplines such as Machine learning and Natural language processing in addition to Artificial intelligence.
Krisztian Balog spends much of his time researching Information retrieval, Knowledge base, Table, Information access and Information needs. Krisztian Balog interconnects Ranking, Crowdsourcing and Natural language in the investigation of issues within Information retrieval. His study on Table also encompasses disciplines like
Information needs is a primary field of his research addressed under World Wide Web. His World Wide Web study frequently involves adjacent topics like Variety. His work in Question answering addresses issues such as Test data, which are connected to fields such as Artificial intelligence.
Krisztian Balog mainly investigates Information retrieval, Table, Knowledge base, Artificial intelligence and Information access. Krisztian Balog is involved in the study of Information retrieval that focuses on Semantic search in particular. His study focuses on the intersection of Table and fields such as Similarity with connections in the field of Supervised learning.
His study in the field of Entity linking is also linked to topics like Process. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Natural language processing. Krisztian Balog has included themes like Ranking, Data mining and Baseline in his Row study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Formal models for expert finding in enterprise corpora
Krisztian Balog;Leif Azzopardi;Maarten de Rijke.
international acm sigir conference on research and development in information retrieval (2006)
Overview of the TREC 2010 Entity Track
Krisztian Balog;Pavel Serdyukov;Arjen P. de Vries.
text retrieval conference (2010)
Expertise Retrieval
Krisztian Balog;Yi Fang;Maarten de Rijke;Pavel Serdyukov.
(2012)
A language modeling framework for expert finding
Krisztian Balog;Leif Azzopardi;Maarten de Rijke.
Information Processing and Management (2009)
Determining expert profiles (with an application to expert finding)
Krisztian Balog;Maarten De Rijke.
international joint conference on artificial intelligence (2007)
Broad expertise retrieval in sparse data environments
Krisztian Balog;Toine Bogers;Leif Azzopardi;Maarten de Rijke.
international acm sigir conference on research and development in information retrieval (2007)
Overview of the TREC 2009 Entity Track
Krisztian Balog;Arjen P. de Vries;Pavel Serdyukov;Paul Thomas.
text retrieval conference (2009)
Why are they excited?: identifying and explaining spikes in blog mood levels
Krisztian Balog;Gilad Mishne;Maarten de Rijke.
conference of the european chapter of the association for computational linguistics (2006)
Finding experts and their eetails in e-mail corpora
Krisztian Balog;Maarten de Rijke.
the web conference (2006)
Building simulated queries for known-item topics: an analysis using six european languages
Leif Azzopardi;Maarten de Rijke;Krisztian Balog.
international acm sigir conference on research and development in information retrieval (2007)
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