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ACL
2010
14 years 10 months ago
Growing Related Words from Seed via User Behaviors: A Re-Ranking Based Approach
Motivated by Google Sets, we study the problem of growing related words from a single seed word by leveraging user behaviors hiding in user records of Chinese input method. Our pr...
Yabin Zheng, Zhiyuan Liu, Lixing Xie
INEX
2004
Springer
15 years 5 months ago
Component Ranking and Automatic Query Refinement for XML Retrieval
Queries over XML documents challenge search engines to return the most relevant XML components that satisfy the query concepts. In a previous work[6] we described an algorithm to ...
Yosi Mass, Matan Mandelbrod
SIGIR
2010
ACM
15 years 3 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
DASFAA
2007
IEEE
173views Database» more  DASFAA 2007»
15 years 6 months ago
Towards Adaptive Information Merging Using Selected XML Fragments
As XML information proliferates on the Web, searching XML information via a search engine is crucial to the experience of both casual and experienced Web users. The returned XML fr...
Ho Lam Lau, Wilfred Ng
WWW
2008
ACM
16 years 15 days ago
Mining the search trails of surfing crowds: identifying relevant websites from user activity
The paper proposes identifying relevant information sources from the history of combined searching and browsing behavior of many Web users. While it has been previously shown that...
Mikhail Bilenko, Ryen W. White