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
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