Rutgers University 3 credits Computer Science
An introductory course on web searching. The architecture of a search engine. Information vs. data retrieval. Web crawling. Processing text (tokenization, stemming, stopwords, link analysis). The indexing process and inverted indexes. Query processing. Ranking algorithms based on indexes and links (e.g., Kleinberg's HITS, Google's PAGERANK). Retrieval models. Search engine evaluation. Case studies (e.g., Google cluster architecture). Prerequisites: 28:198:280 and (21:640:237 or 21:198:251).
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