A personalized search engine based on Web‐snippet hierarchical clustering

By Paolo Ferragina, Antonio Gullì. The Web Conference, 2005

332 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Mining Query Logs: Turning Search Usage Data into Knowledge (2010, background): “We have not analyzed, in this work, relevant papers such as [62, 76, 141, 193, 217, 225].”
Personalized Search (2015, background): “[4] [35] [28] [42] [25] [38] [6] [15] [46], whereas the goal of this work is to improve search in digital libraries, using techniques and current knowledge of recommendation systems and personalization.”
TAGME: on-the-fly annotation of short text fragments (by wikipedia entities) (2010, methodology): “For the experiments we split each iitb document into fragments of 30 words each, so to obtain a short input text (mimicking the snippet of a search-engine result).”
Building an open source meta-search engine (2005, background): “[10] reports a survey of techniques that have been proposed to tackle several underlying challenges in building a meta-search engine.”
A large-scale evaluation and analysis of personalized search strategies (2007, background): “Various personalization strategies including [21, 22, 26, 31, 14, 9, 35, 30, 19] have been proposed, and personalized web search systems have been developed, but they are far from optimal.”