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Found 5 papers, 0 papers with code
Learning to Infer Unobserved Behaviors: Estimating User's Preference for a Site over Other Sites
Estimating users' preferences for the site, however, faces major obstacles because (a) the focal site usually has no data of its users' interactions with other sites; these interactions are users' unobserved behaviors for the focal site; and (b) the Machine Learning literature in recommendation does not offer a model of this situation.
Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction
Empirically, we find that these techniques improve the performance of a baseline deep reinforcement learning agent applied to text-based games.
Contextual Bandits Evolving Over Finite Time
Contextual bandits have the same exploration-exploitation trade-off as standard multi-armed bandits.
Ontology Based Pivoted normalization using Vector Based Approach for information Retrieval
The proposed methodology is procedural i. e. it follows finite number of steps that extracts relevant documents according to users query.
Improving Statistical Multimedia Information Retrieval Model by using Ontology
A typical IR system that delivers and stores information is affected by problem of matching between user query and available content on web.
