Passive Learning
Definition Passive Learning in AI marketing refers to a model where the AI system learns from its environment without receiving explicit feedback. The system makes predictions or decisions based on data provided, observing the outcomes passively. There is no active interaction or adjustment of strategies based on the outcomes. Key takeaway Passive Learning in AI […]
Podcast Publishing Schedule
Definition In marketing, a Podcast Publishing Schedule refers to a predetermined timeline or calendar that outlines when and how often new podcast episodes will be released. It typically includes the dates, times, and frequency of each episode’s release. A well-planned schedule ensures consistency, helps in audience retention, and streamlines the production process. Key takeaway The […]
Publishing Calendar
Definition A Publishing Calendar in marketing, also known as a content calendar, is a planning tool used by marketers to schedule and organize the creation, publication, and distribution of content across various channels. It includes details like publication dates, content topics, and targeted platforms. It assists in ensuring consistent engagement with the audience and effective […]
Publishing Schedule
Definition In marketing, a publishing schedule refers to a planned timeline that determines when and where marketing content will be shared or distributed. It’s often used in content marketing and social media management to organize the posting of content across multiple platforms in a consistent and strategic manner. In essence, it serves as a roadmap […]
Pretrained Models
Definition Pretrained models in AI marketing are AI models that have been previously trained on a large dataset. These models, already having learned certain patterns and features, serve as a starting point and can be fine-tuned or adapted for specific marketing tasks. This use of pretrained models can save significant time and resources as it […]
Predictive Sparse Decomposition
Definition Predictive Sparse Decomposition (PSD) in AI marketing refers to an advanced algorithmic model used to predict customer behavior or trends. This system works by breaking down extensive datasets into simpler, sparse components, making it easier to analyze and derive insights. In marketing, such an AI system assists in understanding customer preferences, predicting future buying […]
Population
Definition In marketing, population refers to the total number of individuals or potential customers within a defined market or segment. In AI terms, it represents the vast quantity of data gathered from the users or target market. This data is then used for analysis, predictions, personalized marketing strategies, and more. Key takeaway AI in marketing […]
Probabilistic Latent Semantic Analysis (PLSA)
Definition Probabilistic Latent Semantic Analysis (PLSA) in AI Marketing is a sophisticated statistical technique that relates observed data to latent variables for analysis. In short, it uses probability distributions over a set of documents and topics to discover hidden semantic structures within a large corpus of data. It is often used for cluster analysis in […]
Paragraph Vector (Doc2Vec)
Definition Paragraph Vector, also known as Doc2Vec, is a model in AI used in marketing to convert text data into numeric form, allowing machine learning algorithms to understand and process it. This method represents each document or paragraph as a unique vector in a high-dimensional space. The model learns to predict words in a document […]
Part-of-Speech (POS) Tagging
Definition Part-of-Speech (POS) Tagging in the field of AI and marketing refers to the process of identifying and labeling the grammatical category of each word (like noun, verb, adjective, etc.) in a text. This technique is widely used in natural language processing and understanding. It helps to analyze customer feedback, understand the sentiment of the […]
