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AAAI
2008
15 years 8 months ago
Concept-Based Feature Generation and Selection for Information Retrieval
Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowled...
Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch
VLDB
2001
ACM
87views Database» more  VLDB 2001»
15 years 10 months ago
Navigating large-scale semi-structured data in business portals
This paper presents several paradigms by which users of Verity business portals (from within as well as from outside an enterprise) discover and navigate relevant semistructured d...
Mani Abrol, Neil Latarche, Uma Mahadevan, Jianchan...
IJCAI
2001
15 years 7 months ago
Keyword Spices: A New Method for Building Domain-Specific Web Search Engines
This paper presents a new method for building domain-specific web search engines. Previous methods eliminate irrelevant documents from the pages accessed using heuristics based on...
Satoshi Oyama, Takashi Kokubo, Toru Ishida, Teruhi...
SIGIR
2010
ACM
15 years 6 months ago
Can search systems detect users' task difficulty?: some behavioral signals
In this paper, we report findings on how user behaviors vary in tasks with different difficulty levels as well as of different types. Two behavioral signals: document dwell time a...
Jingjing Liu, Chang Liu, Jacek Gwizdka, Nicholas J...
FOCS
2009
IEEE
15 years 10 months ago
Space-Efficient Framework for Top-k String Retrieval Problems
Given a set D = {d1, d2, ..., dD} of D strings of total length n, our task is to report the "most relevant" strings for a given query pattern P. This involves somewhat mo...
Wing-Kai Hon, Rahul Shah, Jeffrey Scott Vitter