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SIGIR
2011
ACM
14 years 9 months ago
Ad hoc IR: not much room for improvement
Ranking function performance reached a plateau in 1994. The reason for this is investigated. First the performance of BM25 is measured as the proportion of queries satisfied on th...
Andrew Trotman, David Keeler
ACMSE
2010
ACM
15 years 4 months ago
Mobile web search personalization using ontological user profile
Most present day search engines have a deterministic behavior in the sense that they return the same search results for all users who submit the same query at a certain time. They...
Kapil Goenka, Ismailcem Budak Arpinar, Mustafa Nur...
TREC
2004
15 years 7 months ago
Juru at TREC 2004: Experiments with Prediction of Query Difficulty
Our experiments in the Robust track this year focused on predicting query difficulty and using this prediction for improving information retrieval. We developed two prediction alg...
Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow...
SSDBM
2008
IEEE
107views Database» more  SSDBM 2008»
16 years 22 days ago
ProUD: Probabilistic Ranking in Uncertain Databases
There are a lot of application domains, e.g. sensor databases, traffic management or recognition systems, where objects have to be compared based on vague and uncertain data. Feat...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
JCIT
2010
182views more  JCIT 2010»
15 years 1 months ago
CT-Rank: A Time-aware Ranking Algorithm for Web Search
Time plays important roles in Web search, because most Web pages contain time information and a lot of Web queries are time-related. However, traditional search engines such as Go...
Peiquan Jin, Xiaowen Li, Hong Chen, Lihua Yue