Foraging User Preference Information for E-Commerce Product Recommendation
Automatic system for maximizing user pereferences’ gathering for optimizing eCommerce product offering
Automatic system for maximizing user pereferences’ gathering for optimizing eCommerce product offering
This approach provides useful information that could be managed by an conversational engine for corroborating search results with meaningful answers.
Neural network architecture for smoothing context switching on conversations between human and automatic agents.
Return items with similar characteristics out of user’s e-commerce search, though the searched product is not known in the merchant’s catalog.
Inductive Logic Programming method for synthesizing logic queries to retrieve information from graph databases.
E-Stores loose sells due to the negative biases of consumers. While salespeople give proper reasons to change consumers misbelieves, it is problematic to add...
Modeling complex processes may involve representing and evaluating long chains of time-dependent data values that depend on one another, for example, as caus...