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» Comparing relevance feedback algorithms for web search
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CIKM
2005
Springer
14 years 1 months ago
Word sense disambiguation in queries
This paper presents a new approach to determine the senses of words in queries by using WordNet. In our approach, noun phrases in a query are determined first. For each word in th...
Shuang Liu, Clement T. Yu, Weiyi Meng
CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
14 years 19 days ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
WWW
2010
ACM
13 years 11 months ago
Time is of the essence: improving recency ranking using Twitter data
Realtime web search refers to the retrieval of very fresh content which is in high demand. An effective portal web search engine must support a variety of search needs, including ...
Anlei Dong, Ruiqiang Zhang, Pranam Kolari, Jing Ba...
CIKM
2005
Springer
14 years 1 months ago
Concept-based interactive query expansion
Despite the recent advances in search quality, the fast increase in the size of the Web collection has introduced new challenges for Web ranking algorithms. In fact, there are sti...
Bruno M. Fonseca, Paulo Braz Golgher, Bruno P&ocir...
CIKM
2009
Springer
14 years 2 months ago
Improving web page classification by label-propagation over click graphs
In this paper, we present a semi-supervised learning method for web page classification, leveraging click logs to augment training data by propagating class labels to unlabeled si...
Soo-Min Kim, Patrick Pantel, Lei Duan, Scott Gaffn...