From commits-return-105141-archive-asf-public=cust-asf.ponee.io@lucene.apache.org Thu Nov 22 09:56:01 2018 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by mx-eu-01.ponee.io (Postfix) with SMTP id A4AE0180645 for ; Thu, 22 Nov 2018 09:56:00 +0100 (CET) Received: (qmail 1421 invoked by uid 500); 22 Nov 2018 08:55:59 -0000 Mailing-List: contact commits-help@lucene.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@lucene.apache.org Delivered-To: mailing list commits@lucene.apache.org Received: (qmail 1412 invoked by uid 99); 22 Nov 2018 08:55:59 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd1-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 22 Nov 2018 08:55:59 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd1-us-west.apache.org (ASF Mail Server at spamd1-us-west.apache.org) with ESMTP id 44E68D290D; Thu, 22 Nov 2018 08:55:59 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd1-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -10.3 X-Spam-Level: X-Spam-Status: No, score=-10.3 tagged_above=-999 required=6.31 tests=[ENV_AND_HDR_SPF_MATCH=-0.5, KAM_SHORT=0.001, RCVD_IN_DNSWL_MED=-2.3, SPF_PASS=-0.001, USER_IN_DEF_SPF_WL=-7.5] autolearn=disabled Received: from mx1-lw-eu.apache.org ([10.40.0.8]) by localhost (spamd1-us-west.apache.org [10.40.0.7]) (amavisd-new, port 10024) with ESMTP id 3zi2t9hOBBvz; Thu, 22 Nov 2018 08:55:58 +0000 (UTC) Received: from mailrelay1-us-west.apache.org (mailrelay1-us-west.apache.org [209.188.14.139]) by mx1-lw-eu.apache.org (ASF Mail Server at mx1-lw-eu.apache.org) with ESMTP id A52E45FB7F; Thu, 22 Nov 2018 08:55:57 +0000 (UTC) Received: from moin-vm.apache.org (moin-vm.apache.org [163.172.69.106]) by mailrelay1-us-west.apache.org (ASF Mail Server at mailrelay1-us-west.apache.org) with ESMTP id D750AE0104; Thu, 22 Nov 2018 08:55:56 +0000 (UTC) Received: from moin-vm.apache.org (localhost [IPv6:::1]) by moin-vm.apache.org (ASF Mail Server at moin-vm.apache.org) with ESMTP id 2842D80208; Thu, 22 Nov 2018 08:55:56 +0000 (UTC) MIME-Version: 1.0 Content-Type: text/plain; charset="utf-8" Content-Transfer-Encoding: quoted-printable From: Apache Wiki To: Apache Wiki Date: Thu, 22 Nov 2018 08:55:55 -0000 Message-ID: <154287695562.32668.11076087366283799253@moin-vm.apache.org> Subject: =?utf-8?q?=5BLucene-java_Wiki=5D_Update_of_=22LucenePapers=22_by_jpountz?= Auto-Submitted: auto-generated Dear Wiki user, You have subscribed to a wiki page or wiki category on "Lucene-java Wiki" f= or change notification. The "LucenePapers" page has been changed by jpountz: https://wiki.apache.org/lucene-java/LucenePapers?action=3Ddiff&rev1=3D7&rev= 2=3D8 * [[http://lucene.apache.org/core/old_versioned_docs/versions/3_5_0/api/= all/org/apache/lucene/search/NumericRangeQuery.html|NumericRangeQuery]], * [[http://dx.doi.org/10.1016/j.cageo.2008.02.023|Generic XML-based Fram= ework for Metadata Portals. Computers & Geosciences 34 (12), 1947-1955]]. S= chindler, U, Diepenbroek, M (2008). = + =3D=3D=3D BKD trees =3D=3D=3D + = + BKD trees have been implemented to support geo capabilities in Lucene and= have superseded NumericRangeQuery for one-dimensional data. + = + * [https://www.cs.duke.edu/~pankaj/publications/papers/bkd-sstd.pdf|Bkd-= Tree: A Dynamic Scalable kd-Tree]], Octavian ProcopiucPankaj K. AgarwalLars= ArgeJeffrey Scott Vitter (2003) + = =3D=3D=3D Automaton-based fuzzy query =3D=3D=3D = Lucene 4.0 supports an improved fuzzy query implementation that is based = on Levenshtein automata. @@ -62, +68 @@ = =3D=3D=3D Incorporating non-textual signals into the final score =3D=3D= =3D = + The below paper describes implementation ideas behind Lucene's FeatureFie= ld to fold non-textual static signals like pagerank, url length, etc. into = the final score. + = * [[http://www.hugo-zaragoza.net/academic/pdf/craswell_sigir05.pdf|Relev= ance Weighting for Query Independent Evidence]], N. Craswell, S. Robertson,= H. Zaragoza and M. Taylor (2005) = =3D=3D=3D Block Max WAND =3D=3D=3D + = + Block MAX WAND is an iteration over WAND that helps efficiently skip scor= ing non-relevant documents. = * [[https://dl.acm.org/citation.cfm?id=3D956944|Efficient query evaluati= on using a two-level retrieval process]] (WAND). Andrei Z. Broder, David Ca= rmel, Michael Herscovici, Aya Soffer, and Jason Zien (2003) * [[http://engineering.nyu.edu/~suel/papers/bmw.pdf|Faster Top-k Documen= t Retrieval Using Block-Max Indexes]]. Shuai Ding, Torsten Suel (2011)