search for: wqf

...n of the Binomial as the probabilistic model (P), the Laplace law of succession to calculate the after effect of sampling or the risk gain (L) and within document frequency normalization H2(2) (as proposed by Amati in his PHD thesis). The formula for w(t,d) in this scheme is given by::- w(t,d) = wqf * L * P where wqf = within query frequency L = Laplace law of after effect sampling =1 / (wdfn + 1) P = wdfn * log (wdfn / lamda) + (lamda - wdfn) log(e) + 0.5 * log (2 * pi * wdfn) wdfn = wdf * (1+c * log(average length of document in database / length of docume...

...rt by docid DESC during my Bool weight query Ok, my question is, after this setup, most(90%) of my queries are 0.3-0.7 CPU per request now(using PHP binding).. But once a while, for some term, I am still having a 6% CPU in a very simple query (using PHP binding)... e.g.Xapian::Query(movie:(pos=1,wqf=12)) in a 10M docs db only indexed little terms (8.6G size) Matches Estimated 421,057 Time: 0.1850 This one uses 6.3% CPU I wonder, what is the cause of this usage of the CPU? is it the ranker? I already did all I can to minimize costs, what else can I do to prevent / load balance the situtation?...

I'm not entirely sure if the following is possible with xapian (didn't see much in the way of the documentation that says it is). I have four fields which reference a PK in our DB that I'd like to index (in most weighted to least weighed order): full name, e-mail, title and location. I see I how I can use add_document() to add a concatenated string of the 4 fields, but how would I

...ncy" with the classical constructor Xapian::Query<http://xapian.org/docs/apidoc/html/classXapian_1_1Query.html#f396e213df0d8bcffa473a75ebf228d6>(const std::string &tname_, Xapian::termcount<http://xapian.org/docs/apidoc/html/namespaceXapian.html#72b5a76dd8cfb7b251fe7986e86390cb>wqf_=1, Xapian::termpos<http://xapian.org/docs/apidoc/html/namespaceXapian.html#e5a16f073d0c8ed54085a9de07248d45>pos_=0) : Xapian::Query query_test(Xapian::Query::OP_OR, Xapian::Query("Bonjour", 10), Xapian::Query("Hello", 5)); Xapian::TermIterator qt = query_test.get...

>A possible workaround (and perhaps a better approach) would be to >set BoolWeight as the weighting scheme, then feed in your score as >a weight using a PostingSource. Then it's available via get_weight() >on the MSetIterator object: > >https://getting-started-with-xapian.readthedocs.io/en/latest/advanced/postingsource.html > >You may find that's faster because

Hello, My name is Nihal. I am a 4th year, CSE undergraduate student at National Institute of Technology Surathkal (NITK). I am proficient in C/C++/Java/PHP languages. Looking through GSOC organizations and projects. I came across Xapian. I have looked through the project list for GSOC'17. Improving Xapian's PHP Bindings project looked right for me. I have been reading up on the resources

Are there any options to forming queries with Omega? For instance can you specify a proximity search like "file near 5 manager"? If so, where might I find this documented? I don't see it in the docs directory. Thanks Jim.

...=============== In a core dump we see that calling the `open_nearby_postlist` function on the `hint` variable [2] falls of a cliff, resulting in a segfault: (gdb) bt 2 #0 0x000000000001eaa1 in ?? () #1 0x00007fa19d09231f in LocalSubMatch::open_post_list (this=0x13527d0, term=..., wqf=1, factor=1, need_positions=<optimized out>, in_synonym=<optimized out>, qopt=0x7ffe66370940, lazy_weight=false) at matcher/localsubmatch.cc:289 the line at localsubmatch.cc:289 is pl = hint->open_nearby_postlist(term); Unfortunately, the compiler had o...