An important problem in search engine advertising is keyword1 generation. In the past, advertisers have preferred to bid for keywords that tend to have high search volumes and hen...
The terms that are used by users during tagging have been found to be different from the terms that are used when searching for resources, which represents a fundamental problem f...
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Given a set of keywords, we find a maximum Web query (containing the most keywords possible) that respects userdefined bounds on the number of returned hits. We assume a real-world...
Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...