full text search - Rank Value getting different,while Give same boosting value in solr query -

full text search - Rank Value getting different,while Give same boosting value in solr query -

August 15, 2013

I have 3 fields in my solr index database and I search for two questions but different fields

indexed data

Employee post : 220232

Pskills : JSP, Servicelet, HTML, Java

Oskill : DB2, Oracle, JDBC, JNI, JSP, VC ++, C, C ++, Java, SQL, XML, Palm OS, Unix, Palm OS, AX, Linux, Solari , Windows 2000, TCP / IP, IP, IDS, Asset Liability Management, Enterprise Application Integration

schema.xml
& lt; Field name = "employee" type = "string" indexed = "true" stored = "true" required = "true" /> & lt; Field name = "pskills" type = "text" indexed = "true" stored = "wrong" required = "false" /> & Lt; Field name = "oscill" type = "text" indexed = "true" stored = "wrong" required = "wrong" />

Question 1 = Employee: 220232 and (Pascil: (("Java")) ^ 3000.00)

Score : 0.6169528

Question 2 = Employee: 220232 and (oskills: (("Java")) ^ 3000.00)

< Score : 0.32307756

My question is "java" keyword in both fields, then why a different value was given

< Div class = "post-text" itemprop = "text">
There are many reasons! Specifically:

If the fields are different lengths, the score will be affected (matching in smaller areas is more heavier) ( Definitely a factor )

More than one match is found in one of the fields, gives a high TF to that field (for example Java once appears in Oskil, but for example, twice in Piskil ) ( It does not look like

These terms are in a field compared to other words In all the documents in R is more common. If, for example, in all documents, "Java" appears in Oshil in 1000 documents, but it only appears in 100 documents, then due to IDF, more and more skills See more matches
.

And at that time when it was run, the index was at that time. Not to compare scores.

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