Demos Features How It Works

Core Concepts & Foundations

Relevance 3
Ranking 2
Indexing 2
Crawling 0
Query Processing 2
Lexical Search 1
Keyword Search 2
Search Theory 0
Information Retrieval (IR) 1
Core Concepts 0

Modern & AI-Driven Search

Semantic Search 0
Neural Search 0
Large Language Models (LLMs) 0
Retrieval-Augmented Generation (RAG) 0
Generative Search 0
Conversational AI 0
Question Answering (QA) 0
Query Understanding (NLU) 2
Personalization 1
Multimodal Search (Text, Image, Audio) 0
Responsible AI 1
Search Ethics 1

Algorithms & Models

Vector Space Model 0
TF-IDF 0
BM25 0
Embeddings (Word2Vec, GloVe, etc.) 0
Sentence-BERT (SBERT) 0
Transformers 0
BERT 0
Dense Retrieval 0
Sparse Retrieval 0
Hybrid Search 0
Learning to Rank (LTR) 0
Graph Algorithms 0
Knowledge Graphs 0

Recommendations

Recommender Systems 1
Collaborative Filtering 0
Content-Based Filtering 0
Hybrid Recommenders 0
Matrix Factorization 0
Cold Start Problem 0
Personalized Ranking 0
Recommendations 1

System Components & Architecture

Vector Databases 0
Search Index 0
Search Pipelines 0
Real-time Indexing 0
Distributed Search 0
Data Engineering 0
MLOps 0

User-Facing Features

Search Suggestions 0
Autocomplete 0
Faceted Search 1
Filtering 1
Did You Mean? 0
Snippets 0
Search UI/UX 2

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Posts tagged: Learning to Rank (LTR)

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