Sure; here are the two explanations (below). Your question made me go look

at the explanation more carefully again and (no) surprise, I discovered

that I

misspoke (miswrote) earlier; the two "found" terms are j2ee and soa,

which then makes my "concern" much less of one, since in both cases, the

"found" terms *are*

being boosted. So the very slight difference in score is not much to be

concerned about.

So I guess, "never mind". I did step through all the code and now have a

much better

understanding of the steps involved in calcuating the score---

Thanks

First the one for the query with db2 NOT boosted

clauses= [text:"j2ee"^2.0, text:"soa"^2.0, text:webservic, text:db2]

"explanation.toString()"= "0.06920814 = (MATCH) product of:\n

0.13841628 = (MATCH) sum of:\n

0.04483024 = (MATCH) weight(text:j2ee^2.0 in 13588), product of:\n

0.50752115 = queryWeight(text:j2ee^2.0), product of:\n

2.0 = boost\n

3.230419 = idf(docFreq=3719, numDocs=34610)\n

0.07855346 = queryNorm\n

0.08833177 = (MATCH) fieldWeight(text:j2ee in 13588), product of:\n

1.0 = tf(termFreq(text:j2ee)=1)\n

3.230419 = idf(docFreq=3719, numDocs=34610)\n

0.02734375 = fieldNorm(field=text, doc=13588)\n

0.093586035 = (MATCH) weight(text:soa^2.0 in 13588), product of:\n

0.7332873 = queryWeight(text:soa^2.0), product of:\n

2.0 = boost\n

4.667441 = idf(docFreq=883, numDocs=34610)\n

0.07855346 = queryNorm\n

0.12762533 = (MATCH) fieldWeight(text:soa in 13588), product of:\n

1.0 = tf(termFreq(text:soa)=1)\n

4.667441 = idf(docFreq=883, numDocs=34610)\n

0.02734375 = fieldNorm(field=text, doc=13588)\n

0.5 = coord(2/4)\n"

Here for the one with db2 boosted:

clauses= [text:"db2"^2.0, text:"j2ee"^2.0, text:"soa"^2.0, text:webservic]

"explanation.toString()"= "0.06465748 = (MATCH) product of:\n

0.12931496 = (MATCH) sum of:\n

0.041882508 = (MATCH) weight(text:j2ee^2.0 in 13588), product of:\n

0.47415 = queryWeight(text:j2ee^2.0), product of:\n

2.0 = boost\n

3.230419 = idf(docFreq=3719, numDocs=34610)\n

0.073388316 = queryNorm\n

0.08833177 = (MATCH) fieldWeight(text:j2ee in 13588), product of:\n

1.0 = tf(termFreq(text:j2ee)=1)\n

3.230419 = idf(docFreq=3719, numDocs=34610)\n

0.02734375 = fieldNorm(field=text, doc=13588)\n

0.087432444 = (MATCH) weight(text:soa^2.0 in 13588), product of:\n

0.68507123 = queryWeight(text:soa^2.0), product of:\n

2.0 = boost\n

4.667441 = idf(docFreq=883, numDocs=34610)\n

0.073388316 = queryNorm\n

0.12762533 = (MATCH) fieldWeight(text:soa in 13588), product of:\n

1.0 = tf(termFreq(text:soa)=1)\n

4.667441 = idf(docFreq=883, numDocs=34610)\n

0.02734375 = fieldNorm(field=text, doc=13588)\n

0.5 = coord(2/4)\n"

Donna L. Gresh

Services Research, Mathematical Sciences Department

IBM T.J. Watson Research Center

(914) 945-2472

http://www.research.ibm.com/people/g/donnagresh[hidden email]
Karl Wettin <

[hidden email]> wrote on 04/01/2008 02:33:42 PM:

> Donna L Gresh skrev:

> > I have two slightly different queries,

>

> Hi Donna,

>

> I can't help you, but perhaps I would understand everthing better if you

> also pasted in the explanations.

>

>

>

> karl

>

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