'Cosine similarity' diaporamas de présentation

The Netflix Prize

The Netflix Prize. Sam Tucker, Erik Ruggles , Kei Kubo, Peter Nelson and James Sheridan Advisor: Dave Musicant. The Problem. The User. Meet Dave: He likes: 24, Highlander, Star Wars Episode V, Footloose, Dirty Dancing He dislikes: The Room, Star Wars Episode II, Barbarella , Flesh Gordon

1.26k views • 108 slides

Machine Learning Part 2: Intermediate and Active Sampling Methods

1.35k views • 105 slides

Supervised learning for text

Supervised learning for text. Organizing knowledge. Systematic knowledge structures Ontologies Dewey decimal system, the Library of Congress catalog, the AMS Mathematics Subject Classification, and the US Patent subject classification Web catalogs Yahoo & Dmoz Problem: Manual maintenance.

1.11k views • 96 slides

Cross-Language Information Retrieval

Cross-Language Information Retrieval. IR/NLP. Beijing NLP/IR Summer School Douglas W. Oard University of Maryland, College Park. Agenda. Questions Overview Cross-Language Search User Interaction. User Needs Assessment. Who are the potential users? What goals do we seek to support?

1.13k views • 83 slides

DATA MINING LECTURE 5

892 views • 70 slides

Machine learning: Unsupervised learning

Machine learning: Unsupervised learning. David Kauchak cs311 Spring 2013 adapted from: http://www.stanford.edu/class/cs276/handouts /lecture17-clustering.ppt. Administrative. Assignment 5 out soon. Machine learning code. Weka Java based Tons of approaches

958 views • 68 slides

Clustering

Clustering. CIS 601 Fall 2004 Longin Jan Latecki Lecture slides taken/modified from: Jiawei Han ( http://www-sal.cs.uiuc.edu/~hanj/DM_Book.html ) Vipin Kumar ( http://www-users.cs.umn.edu/~kumar/csci5980/index.html ) . Clustering. Cluster: a collection of data objects

799 views • 64 slides

Discourse Structure and Discourse Coherence

Discourse Structure and Discourse Coherence. Julia Hirschberg CS 4705. Thanks to Dan Jurafsky, Diane Litman, Andy Kehler, Jim Martin . What makes a text or dialogue coherent? .

891 views • 49 slides

Text Search for Fine-grained Semi-structured Data

Text Search for Fine-grained Semi-structured Data. Soumen Chakrabarti Indian Institute of Technology, Bombay www.cse.iitb.ac.in/~soumen/. Searching a RDBMS Complex data model: tables, rows, columns, data types Expressive, powerful query language Need to know schema to query

752 views • 47 slides

Text Clustering

Text Clustering. Clustering. Partition unlabeled examples into disjoint subsets of clusters , such that: Examples within a cluster are very similar Examples in different clusters are very different Discover new categories in an unsupervised manner (no sample category labels provided). .

933 views • 47 slides

Olga Zoidi , Anastasios Tefas , Member, IEEE Ioannis Pitas, Fellow, IEEE

Visual Object Tracking Based on Local Steering Kernels and Color Histograms IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY VOL. 23, NO.5, MAY 2013. Olga Zoidi , Anastasios Tefas , Member, IEEE Ioannis Pitas, Fellow, IEEE. Overview. Introduction Proposed method

666 views • 45 slides

Intro to RecSys and CCF

Intro to RecSys and CCF. Brian Ackerman. Roadmap. Introduction to Recommender Systems & Collaborative Filtering Collaborative Competitive Filtering. Introduction to Recommender Systems & Collaborative Filtering. Motivation.

602 views • 41 slides

February 11 2013 Geoffrey Fox gcf@indiana.edu

X-Informatics Case Study: e-Commerce and Life Style Informatics: Recommender Systems III: Algorithms Continued and Software. February 11 2013 Geoffrey Fox gcf@indiana.edu http:// www.infomall.org/X-InformaticsSpring2013/index.html

549 views • 41 slides

Polarity Inducing Latent Semantic Analysis

Polarity Inducing Latent Semantic Analysis. A vector space model that can distinguish Antonyms from Synonyms!. Scott Wen-tau Yih Joint work with Geoffrey Zweig & John Platt Microsoft Research. v q. Vector Space Model. v d.

560 views • 29 slides

Asymmetric Distance Estimation with Sketches for Similarity Search in High-Dimensional Spaces

Asymmetric Distance Estimation with Sketches for Similarity Search in High-Dimensional Spaces. Wei Dong Joint work with Moses Charikar and Kai Li Computer Science Department Princeton University. Motivations. Feature-rich data grow explosively Images, audio, video, scientific sensor data

336 views • 22 slides

Event Detection using a Clustering Algorithm

Event Detection using a Clustering Algorithm. Kleisarchaki Sofia, University of Crete, kleisar@csd.uoc.gr. Contents. Problem Statement Clustering Framework Pre-process Clusterer Experimental Setup Corpus Training Methodology Evaluation Methodology Quality Metrics Results

321 views • 20 slides

Stochastic Unsupervised Learning on Unlabeled Data

260 views • 13 slides

Textual Spatial Cosine Similarity

Textual Spatial Cosine Similarity. Giancarlo Crocetti Pace University Seidenberg School of CSIS. Introductin. Similarity is a quantifiable measure of how similar two objects are We have many document similarity measures today

465 views • 12 slides

Focused Crawler

Focused Crawler. Ben Markines Mira Stoilova Fulya Erdinc. Introduction. Based from the paper presented the first week of class Accelerated Focused Crawling through Online Relevance Feedback by Chakrabarti presented by Mark Meiss

244 views • 7 slides

Automatically Mapping Natural Language Requirements to Domain-Specific Process Models

126 views • 0 slides