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Beyond Basic Faceted Search Presented by Chien-Ling Huang Jun. 30, 2011 Ben-Yitzhak, Nadav Golbandi, Nadav Har’El, Ronny Lempel,Andreas Neum la Ofek-Koifman, Dafna Sheinwald, Eugene Shekita, amin Sznajder, Sivan Yogev

Beyond Basic Faceted Search

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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

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Page 1: Beyond Basic Faceted Search

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

Page 2: Beyond Basic Faceted Search

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

Business Intelligence Correlated Facets Pros & Cons Conclusion

Page 3: Beyond Basic Faceted Search

INTRODUCTION

What’s Faceted Search?

Typical user interaction with Faceted Search

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

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INTRODUCTION

Shortcoming1. Should have richer insight into

data

2. Too many independent facet hierarchies.

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Related Work

Multifaceted Search1. Faceted Hierarchies2. Mapping the documents

OLAP- On Line Analytical Processing

CUBE

Page 6: Beyond Basic Faceted Search

Implementation of Basic Faceted Search

Lucene

Document Ingestion1. Taxonomy before indexing2. Taxonomy while indexing

Page 7: Beyond Basic Faceted Search

Implementation of Basic Faceted Search

Page 8: Beyond 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

Page 9: Beyond Basic Faceted Search

Extending Multifaceted Search to bussiness intelligence

Page 10: Beyond Basic Faceted Search

Extending Multifaceted Search to bussiness intelligence

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Extending Multifaceted Search to bussiness intelligence

Dynamic Facets

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Correlated Facets

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Correlated Facets

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Correlated Facets

Shortcoming

1. Large index size

2. Difficulty on aggregating counts

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Correlated Facets

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Pros and cons

Dynamic corpora Less complexity Allow multiple sub categories

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Conclusion

Extended the Basic Faceted Search.

1. Flexible, Dynamic, Business intelligence aggregation

2. Efficiently support correlated facets.

Page 18: Beyond Basic Faceted Search

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