Rete Algorithm
The Rete Algorithm is pattern matching Algorithm developed to efficiently apply many rules or patterns to many objects, or facts, in a knowledge base.
Basket building
Basket building is the eCommerce marketing strategy that focuses on encouraging shoppers to build up their online shopping cart with more items.
Agent Interface
The agent interface helps the users to collaborate in the same work environment and enable the agent to control all activities inside a software.
Reinforcement Learning
Reinforcement learning is an area of technology associated with ML. To maximize cumulative rewards, agents conduct actions in a controlled environment
Attributes (System/Bot/Custom)
Attributes are data points associated with a user or relevant to the conversation. They are persistent unless cleared or overridden explicitly.
Lexicography
Lexicography is study of lexicons that is divided into two academic disciplines, the practice of making & editing dictionaries & other reference texts
Cosine similarity
Cosine similarity measures the similarity between two vectors of an inner product space. It is measured by the cosine of the angle between two vectors
Ensemble Averaging
Ensemble averaging is creating multiple models and combining them to produce the desired output, as opposed to creating just one model.
White labelling
White labelling is when the company that creates a product/service removes its brand and logo from the final product & adds the branding of purchaser
Stemming
Stemming is a text normalization technique used in NLP that reduces a word to its stem that affixes to suffixes and prefixes or the roots.
Escalation Management
Escalation management involves transferring calls to top-level representatives who have more experience than the agent who initially answers the call.
Greedy algorithm
Greedy algorithms: Greedy algorithms are algorithms that take the best, immediate, or local, solution while looking for an answer.
Time Complexity
Time complexity is the time that an algorithm takes to run as a function of the input & describes how much computer time it takes to run an algorithm
Transduction
Transduction inference in n logic, statistical inference, and machine learning is reasoning that is derived from observed, specific (training) cases
Knowledge extraction
Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources.
Propositional logic
Propositional logic is a branch of mathematical logic. It studies the logical relationships between propositions ( statements, sentences, assertions )
Combinatorial optimization
This theory a branch of computer science that classifies and compares the difficulty in solving problems about finite combinatorial objects.
Marketing Automation
Marketing automation is the process of using technology to automate marketing activities. It is typically used to automate social media posting.
Boolean satisfiability problem
The Boolean satisfiability problem (B-SAT) is a problem solver containing binary variables connected by logical relations using SAT formulas.
Backpropagation
Backpropagation is an algorithm for supervised learning of artificial neural networks using gradient descent,calculates the gradient of error backward
Market basket analysis
Market basket analysis is a data mining technique used by retailers to increase sales by better understanding customer purchasing patterns.
Natural Language Processing
Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that helps computers understand, interpret and manipulate human language