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» Studying trailfinding algorithms for enhanced web search
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PUK
2003
13 years 11 months ago
Accelerating Heuristic Search in Spatial Domains
This paper exploits the spatial representation of state space problem graphs to preprocess and enhance heuristic search engines. It combines classical AI exploration with computati...
Stefan Edelkamp, Shahid Jabbar, Thomas Willhalm
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
14 years 1 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
JCDL
2004
ACM
114views Education» more  JCDL 2004»
14 years 3 months ago
Translating unknown cross-lingual queries in digital libraries using a web-based approach
Users’ cross-lingual queries to a digital library system might be short and not included in a common translation dictionary (unknown terms). In this paper, we investigate the fe...
Jenq-Haur Wang, Jei-Wen Teng, Pu-Jen Cheng, Wen-Hs...
SAC
2008
ACM
13 years 9 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
CORR
2006
Springer
126views Education» more  CORR 2006»
13 years 9 months ago
Evaluating the Robustness of Learning from Implicit Feedback
This paper evaluates the robustness of learning from implicit feedback in web search. In particular, we create a model of user behavior by drawing upon user studies in laboratory ...
Filip Radlinski, Thorsten Joachims