Abstract
This lecture overviews Web Search based on Ranking that has many applications in Web Science and Social Media Analytics. It covers the following topics in detail: Architecture of Web Search Engine: Crawler, Indexer, Query Processor. Timeline of Ranking at Indexed Pages. Ranking Algorithms: Based on Frequency (TF-IDF), Based on Graph-Link Analysis (PageRank, Hits, Salsa, UsersRank, SimRank). Neural Networks-based ranking algorithms: Pointwise (Ranking with Large Margin Principles-SVM), Pairwise (SortNet), Listwise (ListNet). Current Neural Networks for Ranking: GEPS, MatchPyramid, C-DSSM, NeuBase. Deep Learning Metrics: Angular Loss, Nearest Neighbors Gaussian Kernels.
Architecture of Web Search Engine.
Deep Learning Metric.
Web-Search-Based-on-Ranking-v1.1-Summary