CS276 Lecture 7. Recap of the last lecture Parametric and field searches Zones in documents Scoring documents: zone weighting Index support for scoring.
INFM 700: Session 9 Search (Part II) Search Engines in Information Architecture Paul Jacobs The iSchool University of Maryland Wednesday, Apr. 18, 2012.
CS347 Lecture 8 May 7, 2001 ©Prabhakar Raghavan. Today’s topic Clustering documents.
Documents as vectors Each doc j can be viewed as a vector of tf.idf values, one component for each term So we have a vector space terms are axes docs live.
Web Search and Data Mining
Clustering Supervised vs. Unsupervised Learning Examples of clustering in Web IR Characteristics of clustering Clustering algorithms Cluster Labeling 1.
Basic Machine Learning: Clustering CS 315 – Web Search and Data Mining 1.
CSCI 5417 Information Retrieval Systems Jim Martin
CS276
Information Retrieval
Information Retrieval and Web Search
CS276 Information Retrieval and Web Search
