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» Temporal ranking for fresh information retrieval
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IRAL
2003
ACM
10 years 9 months ago
Temporal ranking for fresh information retrieval
In business, the retrieval of up-to-date, or fresh, information is very important. It is difficult for conventional search engines based on a centralized architecture to retrieve ...
Nobuyoshi Sato, Minoru Uehara, Yoshifumi Sakai
SIGIR
2010
ACM
10 years 8 months ago
Capturing page freshness for web search
Freshness has been increasingly realized by commercial search engines as an important criteria for measuring the quality of search results. However, most information retrieval met...
Na Dai, Brian D. Davison
SIGIR
2010
ACM
10 years 8 months ago
Freshness matters: in flowers, food, and web authority
The collective contributions of billions of users across the globe each day result in an ever-changing web. In verticals like news and real-time search, recency is an obvious sign...
Na Dai, Brian D. Davison
DEXAW
2003
IEEE
158views Database» more  DEXAW 2003»
10 years 9 months ago
Temporal Information Retrieval in Cooperative Search Engine
In business, the retrieval of up-to-date, or fresh, information is very important. It is difficult for conventional search engines based on a centralized architecture to retrieve ...
Nobuyoshi Sato, Minoru Uehara, Yoshifumi Sakai
WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
11 years 1 months ago
Towards Recency Ranking in Web Search
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne,...
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