A Sequential Query is any query that forms part of a series of related queries within ...
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What Are Knowledge Graph Embeddings (KGEs)?
A knowledge graph represents the world as nodes (entities) and edges (relations). KGEs map each node ...
BERT and Transformer Models for Search
BERT (Bidirectional Encoder Representations from Transformers) is trained with a masked language model, enabling it to ...
Click Models & User Behavior in Ranking
What are Click Models?Click models are probabilistic frameworks that separate what users looked at from what ...
What is DPR (and why it mattered)?
DPR is a dual-encoder retriever: one encoder maps the query to a vector; another maps each ...
What is Learning-to-Rank (LTR)?
Learning-to-Rank (LTR) is a machine learning approach used in information retrieval and search systems to order ...
Zero-shot and Few-shot Query Understanding
What is Zero-shot Query Understanding?Zero-shot query understanding refers to an LLM’s ability to interpret and transform ...
What are Evaluation Metrics for IR?
Evaluation metrics for Information Retrieval (IR) are quantitative measures used to assess how effectively a search ...
How LLMs Leverage Wikipedia & Wikidata?
LLMs leverage Wikipedia and Wikidata by using Wikipedia’s clean, multilingual, hyperlinked text and Wikidata’s structured ...
What are Entity Disambiguation Techniques?
Entity disambiguation techniques are the methods that resolve an ambiguous mention to the correct entity ...
