1. Target.com Search + LucidWorks
#TargetSearch

2. 2
Change is constant…but we always reflect on our core culture

3. work & think
different
bring your skills not your title
be accountable
be transparent
progress over perfection

4. Setting sail with Solr…

5. 5
We have left port…
Solr POC
Production

6. 6
What we have learned so far…
Went Well Not so Well
• Transforming data into Solr • Facets are different between the
platforms
• Loading data to Solr using Dynamic
Fields
• Grouping and pagination
• Speed of importing data • Start from scratch on relevancy
• Relevancy strategy management
• Ease of adding additional data signals

7. <RECORD>
<PROP NAME="recordType">
<PVAL>Product</PVAL>
</PROP>
<PROP NAME="productTitle">
<PVAL>Converse® One Star® Men's Short Sleeve
Henley - Dog Bone L</PVAL>
</PROP>
<PROP NAME="listprice">
<PVAL>14.99</PVAL>
</PROP>
<PROP NAME="saleprice">
<PVAL>14.99</PVAL>
</PROP>
<PROP NAME="partNumber">
<PVAL>14930617</PVAL>
</PROP>
<PROP NAME="InvStatus">
<PVAL>0</PVAL>
</PROP>
<PROP NAME="categoryName">
<PVAL>short sleeve tees</PVAL>
</PROP>
<PROP NAME="categoryName">
<PVAL>shirts</PVAL>
</PROP>
Data Conversion
7
Catalog Feed
Solr
<doc>
<field name="D_Marketing">New</field>
<field name="D_Categories">4919|short sleeve
tees|Y|NOLEAF</field>
<field
name="D_Categories">4921|shirts|Y|NOLEAF</field>
<field name="D_Nav">0|4919</field>
<field name="D_Nav">1|4919|4921</field>
<field name="P_Record_Type">Product</field>
<field name="P_ListPrice">14.99</field>
<field name="P_OfferPrice">14.99</field>
<field name="D_PriceRange">B ($10 - $15)</field>
<field name="P_Inv_Status">0/field>
<field name="D_Inv_Status">0</field>
<field name="P_ProductInfoTitle">Converse® One
Star® Men's Short Sleeve Henley</field>
<field name="P_DefinedAttributes">Size</field>
.
.
.

8. <dynamicField name="D_*" type="text_en_splitting" stored="true"
multiValued="true"/>
<dynamicField name="*_facet" type="string" indexed="true"
stored="true" multiValued="true"/>
.
.
.
<copyField source="D_*" dest="*_facet"/>
Dynamic Fields
8
In Solr Schema:

9. 9
Signals = Relevancy
Basic Question: How do you take basic information from activity on your website and use it
to make results more relevant? Example: Hello Kitty

10. Solr’s default strategy finds what it
“thinks” is most relevant
Untuned results
10

11. Once Solr is told to look at the most
viewed/ordered items… voila!
Results with guest data
11

12. Questions?