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Fuhr's challenge: conceptual research, or bust
In his 2012 Salton Award acceptance speech, Norbert Fuhr challenged the IR research community to develop IR into an engineering science. In this note, I elaborate on the implications of this challenge, which I interpret as a call for more ...
The seventeenth australasian document computing symposium
The Seventeenth Australian Document Computing Symposium was held in Dunedin, New Zealand on the 5th and 6th of December 2012. In total twenty four papers were submitted. From those eleven were accepted for full presentation and 8 for short presentation. ...
Report on IIiX'12: the fourth information interaction in context symposium
This paper reports on the fourth Information Interaction in Context (IIiX) Symposium held in Nijmegen, the Netherlands in August 2012. It featured a lively program with 3 keynotes, 25 long papers with oral presentation, 20 short papers with poster ...
Report on the workshop on search and exploration of x-rated information (SEXI 2013)
The Workshop on Search and Exploration of X-Rated Information (SEXI) was presented for the first time at the Conference on Web Search and Data Mining (WSDM) 2013 in Rome, Italy. It represents a first attempt to study adult content from the perspective ...
Report on the fifth workshop on exploiting semantic annotations in information retrieval (ESAIR'12)
There is an increasing amount of structure on the web as a result of modern web languages, user tagging and annotation, emerging robust NLP tools, and an ever growing volume of linked data. These meaningful, semantic, annotations hold the promise to ...
PROMISE technology transfer day: spreading the word on information access evaluation at an industrial event
- Pamela Forner,
- Luisa Bentivogli,
- Martin Braschler,
- Khalid Choukri,
- Nicola Ferro,
- Allan Hanbury,
- Jussi Karlgren,
- Henning Müller
The Technology Transfer Day was held at CeBIT 2013 from March 5 to March 9, at the Deutsche Messe in Hannover, Germany. PROMISE presented three events at CeBIT: a panel in the CeBIT Global Conference (CGC) - Power Stage, a one-day workshop hosted in the ...
Adaptive domain modelling for information retrieval
Modern search engines employ a number of interactive features to assist users in exploring the document collection and expressing their information needs. Providing these features require knowledge about the document collection in the domain, i.e. a ...
Efficient query processing in distributed search engines
Web search engines have to deal with a rapidly increasing amount of information, high query loads and tight performance constraints. The success of a search engine depends on the speed with which it answers queries (efficiency) and the quality of its ...
News vertical search using user-generated content
The online news landscape has been greatly affected by the emergence of user-generated content, as the general public summarise, discuss and comment upon news stories in real-time. Meanwhile, Web search engines serve millions of queries relating to news ...
Semantic and distributed entity search in the web of data
Both the growth and ubiquitous character of the Internet have had a profound effect on how we access and consume data and information. More recently, the Semantic Web, an extension of the current Web has come increasingly relevant due to its widespread ...
Sub-document level information retrieval: retrieval and evaluation
XML is increasingly used to mark up content in present day information repositories. Over the last decade or so, retrieval from XML document collections has emerged as an area of active research. For the Information Retrieval community, XML retrieval ...
Explicit web search result diversification
Queries submitted to a web search engine are typically short and often ambiguous. With the enormous size of the Web, a misunderstanding of the information need underlying an ambiguous query can misguide the search engine, ultimately leading the user to ...
Document ranking with quantum probabilities
In this thesis we investigate the use of quantum probability theory for ranking documents. Quantum probability theory is used to estimate the probability of relevance of a document given a user's query. We posit that quantum probability theory can lead ...