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» An Empirical Study of Similarity Search in Stock Data
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KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 10 days ago
Mining broad latent query aspects from search sessions
Search queries are typically very short, which means they are often underspecified or have senses that the user did not think of. A broad latent query aspect is a set of keywords ...
Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 5 days ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
EGOV
2006
Springer
15 years 1 months ago
Designing Government Portal Navigation Around Citizens' Needs
Improving the usability of government portal sites requires a focus shift from system to user in both research and design. Empirical studies into user behavior are needed to suppor...
Rob Klaassen, Joyce Karreman, Thea van der Geest
WWW
2004
ACM
16 years 14 days ago
A hierarchical monothetic document clustering algorithm for summarization and browsing search results
Organizing Web search results into a hierarchy of topics and subtopics facilitates browsing the collection and locating results of interest. In this paper, we propose a new hierar...
Krishna Kummamuru, Rohit Lotlikar, Shourya Roy, Ka...
ISI
2007
Springer
15 years 6 months ago
DOTS: Detection of Off-Topic Search via Result Clustering
— Often document dissemination is limited to a “need to know” basis so as to better maintain organizational trade secrets. Retrieving documents that are off-topic to a user...
Nazli Goharian, Alana Platt