'Scatter gather' diaporamas de présentation

Flat Clustering

1.44k views • 112 slides

Marti Hearst UC Berkeley Oct 6, 2004

985 views • 98 slides

Usability of Grouping of Retrieval Results

Usability of Grouping of Retrieval Results. Marti Hearst School of Information, UC Berkeley September 1, 2006. The Need to Group. Interviews with lay users often reveal a desire for better organization of retrieval results Useful for suggesting where to look next

1.03k views • 92 slides

Information Foraging & Information Scent: Theory, Models, and Applications

Information Foraging & Information Scent: Theory, Models, and Applications. Peter Pirolli User Interface Research. Work supported in part by the Office of Naval Research. Aim of this Talk. Overview Information foraging theory Information scent Sample of psychological investigations

1.05k views • 71 slides

SCATTER/GATHER : A CLUSTER BASED APPROACH FOR BROWSING LARGE DOCUMENT COLLECTIONS

SCATTER/GATHER : A CLUSTER BASED APPROACH FOR BROWSING LARGE DOCUMENT COLLECTIONS. GROUPER : A DYNAMIC CLUSTERING INTERFACE TO WEB SEARCH RESULTS. MINAL PATANKAR MADHURI WUDALI. DOCUMENT CLUSTERING. Process of grouping documents with similar contents in to a common cluster.

545 views • 35 slides

What Happens After the Search? User Interface Ideas for Information Retrieval Results

What Happens After the Search? User Interface Ideas for Information Retrieval Results. Marti A. Hearst Xerox PARC. Repositories. Goals. Workspace. Search is only part of the Information Analysis Process. Outline. A. Background: Search and Short Queries

256 views • 25 slides

Discussion Class 12

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Scatter/Gather : A Cluster Based Approach to Large Document Collections

Scatter/Gather : A Cluster Based Approach to Large Document Collections. Alyssa Katz LIS 551 March 23, 2003. Introduction. Alternate uses for document clustering Give document clustering a second chance!. Old Approach. Compare Document Clustering with Vector Space Models

371 views • 11 slides

Sieve of Eratosthenes Quiz questions

Sieve of Eratosthenes Quiz questions. ITCS4145/5145, Parallel Programming Oct 24, 2013. When can we stop the algorithm? When the next prime is:. None of the other answers. What is the complexity of the sequential algorithm?. None of the other answers.

64 views • 5 slides