A detailed discussion between Sunjay and Eriq about the intricacies of knowledge graphs, knowledge embeddings, and random walks within the realm of machine learning. Eriq elaborates on the structured storage of data in knowledge graphs through triples (subject, verb, object), and their applications in systems like question-answering and data lookup. However, Eriq points out the challenges posed by their sparsity, largely due to the massive volume of knowledge and the intensive process of data entry.

To mitigate these issues, Eriq introduces the concept of enriching these graphs through knowledge embeddings. He explains how these embeddings can be trained using a mix of correct and intentionally corrupted triples. He underscores the significance of incorporating negative examples to train these models effectively.

The conversation then pivots to the topic of user-centric embeddings and the role of random walks in graphs. The diagram referenced in the discussion can be found at https://www.youtube.com/clip/UgkxpsuBa56xIgLpb79LHM6qCVn3WWFdArDc. Eriq describes the process of tailoring general embeddings to specific user preferences and how random walks can be leveraged to extract pertinent data for more personalized training experiences. Throughout, the dialogue touches on the practical applications of these techniques in areas such as predictive modeling and recommendation systems, highlighting their potential in real-world scenarios.

Machine Learning Mastery: Exploring the Depths of ML

Exploring Knowledge Graphs, Embeddings, and Random Walks

Teodora Petkova is a scholar and content marketer whose PhD dissertation explored semantic technologies and dialogical theory and how they apply in the field of digital marketing communication.

She thoughtfully combines her rigorous academic thinking with pragmatic data- and knowledge-management practices in her content-marketing work.

She's currently building a knowledge graph with marketing content at Ontotext, the RDF database and data-management platform company.

https://knowledgegraphinsights.com/teodora-petkova/

Knowledge Graph Insights

Teodora Petkova: Dialogic Communication for the Semantic Web - 007

Undeniable Entity Optimization The Three Pillars of Google's Confidence Score and the Shift from Keywords to Trust

PREDRAG PETROVIC SEO Srbija - Video and digital marketing specialist near Belgrade, Serbia
#cyburbian #SEO

Insights gleaned from interviews with experts across digital practice: ontology engineering, semantic tech, knowledge graphs, content strategy, content design, UX writing, information architecture, AI, machine learning, and more.

New tracks tagged #knowledge graph