Beyond Basic Faceted Search

Post on 30-Jan-2016

34 Views

Category:

Documents

0 Downloads

Preview:

Click to see full reader

DESCRIPTION

Beyond Basic Faceted Search. Presented by Chien-Ling Huang Jun. 30, 2011. Ori Ben-Yitzhak, Nadav Golbandi, Nadav Har’El, Ronny Lempel,Andreas Neumann, Shila Ofek-Koifman, Dafna Sheinwald, Eugene Shekita, Benjamin Sznajder, Sivan Yogev. Overview. Introduction Related Work - PowerPoint PPT Presentation

Transcript

Beyond Basic Faceted Search

Presented by Chien-Ling Huang

Jun. 30, 2011

Ori Ben-Yitzhak, Nadav Golbandi, Nadav Har’El, Ronny Lempel,Andreas Neumann, Shila Ofek-Koifman, Dafna Sheinwald, Eugene Shekita,Benjamin Sznajder, Sivan Yogev

Overview Introduction Related Work Implementation on Basic Facet Search Extended multifaceted Search To

Business Intelligence Correlated Facets Pros & Cons Conclusion

INTRODUCTION

What’s Faceted Search?

Typical user interaction with Faceted Search

1. Type or refine a search query 2. Navigate through multiple search query

INTRODUCTION

Shortcoming1. Should have richer insight into

data

2. Too many independent facet hierarchies.

Related Work

Multifaceted Search1. Faceted Hierarchies2. Mapping the documents

OLAP- On Line Analytical Processing

CUBE

Implementation of Basic Faceted Search

Lucene

Document Ingestion1. Taxonomy before indexing2. Taxonomy while indexing

Implementation of Basic Faceted Search

Implementation of Basic Faceted Search

Faceted query and Faceted result set

FQ=(qc, TF)TF={tf1, tf2,….tfk} tfi=(Pi,ni)

n>=1

Extending Multifaceted Search to bussiness intelligence

Extending Multifaceted Search to bussiness intelligence

Extending Multifaceted Search to bussiness intelligence

Dynamic Facets

Correlated Facets

Correlated Facets

Correlated Facets

Shortcoming

1. Large index size

2. Difficulty on aggregating counts

Correlated Facets

Pros and cons

Dynamic corpora Less complexity Allow multiple sub categories

Conclusion

Extended the Basic Faceted Search.

1. Flexible, Dynamic, Business intelligence aggregation

2. Efficiently support correlated facets.

Reference Peter Anick and Suresh Tipirneni. Method and

apparatus for automatic construction of facetedterminological feedback for document retrieval, 2003.US Patent 6519586.

Ramon Barquin and Herb Edelstein (editors).Building, Using and Managing the Data Warehouse.Prentice-Hall, Inc, 1997.

E.F. Codd, S.B. Codd, and C.T. Salley. Providingolap (on-line analytical processing) to user-analysts:An IT mandate.Technical Repor

top related