Faceted search using endeca

Are endeca dimensions and facets(as in faceted search the same things). If not can someone provide me some reference material for doing faceted search using endeca.

I'm not sure whether your question is aimed at the Discovery or Commerce Endeca engine. However, there are similarities.
In Oracle Commerce. a dimension is an attribute type that contains data that will drive facetted guided navigation. The values contained by the field become the facets that you see in Guided Navigation. A Property attribute is used for continuously varying data. Either attribute type , Dimension or Property, can be made searchable.
In Information Discovery, no distinction is made between Dimension and Property attribute types. Instead, any attribute has the potential for driving faceted navigation, but an attribute has to be is configured to do so.  In Studio, on the View you can specify whether an attribute should be used Dimensionally e.g. as a facet for filtering results. Generally speaking, continuously varying data will not be configured to be used Dimensionally whereas textual data often will be. These settings can be modified in the Views editor in Studio.

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    Hi Girish,
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    Let me know if you have any specific questions.
    Regards,
    Shabari

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      8    )
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      3  into tbl_product_lookup (product_description) values ('test product and more')
      4  into tbl_product_lookup (product_description) values ('another test product and more')
      5  into tbl_product_lookup (product_description) values ('another test product')
      6  into tbl_product_lookup (product_description) values ('test products')
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    |   0 | SELECT STATEMENT               |                    |    38 |  3990 |    13  (16)| 00:00:01 |
    |*  1 |  COUNT STOPKEY                 |                    |       |       |            |          |
    |   2 |   VIEW                         |                    |    38 |  3990 |    13  (16)| 00:00:01 |
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    Predicate Information (identified by operation id):
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       3 - filter(ROWNUM<=100)
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    SCOTT@orcl_11gR2>

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  • Who's Who: How to refine employee search using customer defined indicator?

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