Bridging Natural Language with Data Programming for Combinatorial Problems
For combining the common sense and the generative power of LLM with a symbolic engine able to solve computational intensive problems in a precise and predict...
Patents
Scarlatti: In-memory Hypergraph Machine Learning
a method to efficiently synthesise queries for extracting information from an in-memory hypergraph Knowledge Base. It uses positive and negative samples to g...
Hyper-Graph Store Representation and Query Mechanism
An in-memory hyper-graph encoding for Datalog-based programming systems. It defines data structures for direct access to predicates and their arguments, enab...
Time-based query processing in analytics
Modeling complex processes may involve representing and evaluating long chains of time-dependent data values that depend on one another, for example, as caus...
Low-Code Programming for Knowledge Reasoning
Business processes are encoded in software through phases like analysis, design, implementation, and quality checking. To reduce costs and delays, systems sh...
Consumer Problem Discovery and Solution Recommender with Knowledge Graphs
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...
GILP: Symbolic Machine Learning Over Knowledge Graphs
Inductive Logic Programming method for synthesizing logic queries to retrieve information from graph databases.
Concept Search with Word Embeddings
Return items with similar characteristics out of user’s e-commerce search, though the searched product is not known in the merchant’s catalog.
Smoothing Conversational Contexts for Language-based Digital Agents
Neural network architecture for smoothing context switching on conversations between human and automatic agents.
Improve Answer Style in Conversational Commerce with Knowledge Graphs
This approach provides useful information that could be managed by an conversational engine for corroborating search results with meaningful answers.
Foraging User Preference Information for E-Commerce Product Recommendation
Automatic system for maximizing user pereferences’ gathering for optimizing eCommerce product offering