Research Directions in Terrier: a Search Engine for Advanced Retrieval on the Web
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Research Directions in Terrier: a Search Engine for Advanced Retrieval on the Web. / Ounis, Iadh; Lioma, Christina; Macdonald, Craig; Plachouras, Vassilis.
In: Novatica, Vol. VIII, No. 1, 2007, p. 49-56.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Research Directions in Terrier: a Search Engine for Advanced Retrieval on the Web
AU - Ounis, Iadh
AU - Lioma, Christina
AU - Macdonald, Craig
AU - Plachouras, Vassilis
PY - 2007
Y1 - 2007
N2 - This paper describes the Terrier search engine, giving an overview of its architecture and main Information Retrieval (IR)features, and reviewing the cutting-edge research implemented in it, with a special focus on Web search. IR research is con-cerned with developing and evaluating search engines that retrieve relevant documents in response to a user query. Terrier is ahighly flexible, efficient, effective and robust platform for IR research, readily deployable on large-scale collections of docu-ments [10]. Terrier implements state-of-the-art theoretically-founded models for IR, ranging from formal disciplines, such asprobability theory, statistics and natural language processing, to computational aspects of index compression and retrievalefficiency. The research put into Terrier constantly expands towards new branches of the wider IR field, making Terrier a strong,modular and state-of-the-art platform for developing and assessing new concepts and ideas.
AB - This paper describes the Terrier search engine, giving an overview of its architecture and main Information Retrieval (IR)features, and reviewing the cutting-edge research implemented in it, with a special focus on Web search. IR research is con-cerned with developing and evaluating search engines that retrieve relevant documents in response to a user query. Terrier is ahighly flexible, efficient, effective and robust platform for IR research, readily deployable on large-scale collections of docu-ments [10]. Terrier implements state-of-the-art theoretically-founded models for IR, ranging from formal disciplines, such asprobability theory, statistics and natural language processing, to computational aspects of index compression and retrievalefficiency. The research put into Terrier constantly expands towards new branches of the wider IR field, making Terrier a strong,modular and state-of-the-art platform for developing and assessing new concepts and ideas.
M3 - Journal article
VL - VIII
SP - 49
EP - 56
JO - Novatica
JF - Novatica
SN - 0211-2124
IS - 1
ER -
ID: 38257070