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370 lines
21 KiB
370 lines
21 KiB
// plasmaSearchRankingProfile.java
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// -------------------------------
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// part of YACY
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// (C) by Michael Peter Christen; mc@anomic.de
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// first published on http://www.anomic.de
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// Frankfurt, Germany, 2006
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// Created: 05.02.2006
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//
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// This program is free software; you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation; either version 2 of the License, or
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// (at your option) any later version.
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//
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// This program is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with this program; if not, write to the Free Software
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// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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//
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// Using this software in any meaning (reading, learning, copying, compiling,
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// running) means that you agree that the Author(s) is (are) not responsible
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// for cost, loss of data or any harm that may be caused directly or indirectly
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// by usage of this softare or this documentation. The usage of this software
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// is on your own risk. The installation and usage (starting/running) of this
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// software may allow other people or application to access your computer and
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// any attached devices and is highly dependent on the configuration of the
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// software which must be done by the user of the software; the author(s) is
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// (are) also not responsible for proper configuration and usage of the
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// software, even if provoked by documentation provided together with
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// the software.
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//
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// Any changes to this file according to the GPL as documented in the file
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// gpl.txt aside this file in the shipment you received can be done to the
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// lines that follows this copyright notice here, but changes must not be
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// done inside the copyright notive above. A re-distribution must contain
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// the intact and unchanged copyright notice.
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// Contributions and changes to the program code must be marked as such.
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package de.anomic.plasma;
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import java.util.HashMap;
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import java.util.Iterator;
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import java.util.Map;
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import java.util.Set;
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import java.util.TreeSet;
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import de.anomic.index.indexRWIEntry;
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import de.anomic.plasma.plasmaURL;
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import de.anomic.index.indexURLEntry;
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import de.anomic.kelondro.kelondroBitfield;
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public class plasmaSearchRankingProfile {
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// pre-sort attributes
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public static final String DOMLENGTH = "domlength";
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public static final String YBR = "ybr";
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public static final String DATE = "date";
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public static final String WORDSINTITLE = "wordsintitle";
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public static final String WORDSINTEXT = "wordsintext";
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public static final String PHRASESINTEXT = "phrasesintext";
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public static final String LLOCAL = "llocal";
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public static final String LOTHER = "lother";
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public static final String URLLENGTH = "urllength";
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public static final String URLCOMPS = "urlcomps";
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public static final String HITCOUNT = "hitcount";
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public static final String POSINTEXT = "posintext";
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public static final String POSOFPHRASE = "posofphrase";
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public static final String WORDDISTANCE = "worddistance";
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public static final String APPURL = "appurl";
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public static final String APPDESCR = "appdescr";
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public static final String APPAUTHOR = "appauthor";
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public static final String APPTAGS = "apptags";
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public static final String APPREF = "appref";
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public static final String APPEMPH = "appemph";
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public static final String CATINDEXOF = "catindexof";
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public static final String CATHASIMAGE = "cathasimage";
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public static final String CATHASAUDIO = "cathasaudio";
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public static final String CATHASVIDEO = "cathasvideo";
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public static final String CATHASAPP = "cathasapp";
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// post-sort predicates
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public static final String URLCOMPINTOPLIST = "urlcompintoplist";
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public static final String DESCRCOMPINTOPLIST = "descrcompintoplist";
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public static final String PREFER = "prefer";
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private int
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coeff_domlength, coeff_ybr, coeff_date, coeff_wordsintitle, coeff_wordsintext, coeff_phrasesintext,
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coeff_llocal, coeff_lother, coeff_urllength, coeff_urlcomps, coeff_hitcount,
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coeff_posintext, coeff_posofphrase, coeff_posinphrase, coeff_worddistance,
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coeff_appurl, coeff_appdescr, coeff_appauthor, coeff_apptags, coeff_appref, coeff_appemph,
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coeff_catindexof, coeff_cathasimage, coeff_cathasaudio, coeff_cathasvideo, coeff_cathasapp,
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coeff_urlcompintoplist, coeff_descrcompintoplist, coeff_prefer;
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public plasmaSearchRankingProfile(String mediatype) {
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// set default-values
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if (mediatype == null) mediatype = "text";
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coeff_domlength = 8;
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coeff_ybr = 8;
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coeff_date = 4;
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coeff_wordsintitle = 4;
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coeff_wordsintext = 1;
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coeff_phrasesintext = 1;
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coeff_llocal = 2;
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coeff_lother = 3;
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coeff_urllength = 14;
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coeff_urlcomps = 14;
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coeff_hitcount = 5;
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coeff_posintext = 7;
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coeff_posofphrase = 6;
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coeff_posinphrase = 1;
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coeff_worddistance = 15;
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coeff_appurl = 14;
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coeff_appdescr = 13;
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coeff_appauthor = 13;
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coeff_apptags = 8;
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coeff_appref = 9;
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coeff_appemph = 11;
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coeff_urlcompintoplist = 3;
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coeff_descrcompintoplist = 2;
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coeff_prefer = 15;
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coeff_catindexof = (mediatype.equals("text")) ? 1 : 10;
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coeff_cathasimage = (mediatype.equals("image")) ? 15 : 1;
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coeff_cathasaudio = (mediatype.equals("audio")) ? 15 : 1;
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coeff_cathasvideo = (mediatype.equals("video")) ? 15 : 1;
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coeff_cathasapp = (mediatype.equals("app")) ? 15 : 1;
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}
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public plasmaSearchRankingProfile(String prefix, String profile) {
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this("text"); // set defaults
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if ((profile != null) && (profile.length() > 0)) {
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//parse external form
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HashMap coeff = new HashMap();
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String[] elts = ((profile.startsWith("{") && (profile.endsWith("}"))) ? profile.substring(1, profile.length() - 1) : profile).split(",");
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int p;
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int s = (prefix == null) ? 0 : prefix.length();
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String e;
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for (int i = 0; i < elts.length; i++) {
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e = elts[i].trim();
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if ((s == 0) || (e.startsWith(prefix))) {
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p = e.indexOf("=");
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if (p < 0) System.out.println("DEBUG: bug in plasmaSearchRankingProfile: e = " + e);
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if ((p > 0) && (e.length() > p + 1)) coeff.put(e.substring(s, p), new Integer(Integer.parseInt(e.substring(p + 1))));
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}
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}
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coeff_domlength = parseMap(coeff, DOMLENGTH, coeff_domlength);
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coeff_ybr = parseMap(coeff, YBR, coeff_ybr);
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coeff_date = parseMap(coeff, DATE, coeff_date);
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coeff_wordsintitle = parseMap(coeff, WORDSINTITLE, coeff_wordsintitle);
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coeff_wordsintext = parseMap(coeff, WORDSINTEXT, coeff_wordsintext);
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coeff_phrasesintext = parseMap(coeff, PHRASESINTEXT, coeff_phrasesintext);
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coeff_llocal = parseMap(coeff, LLOCAL, coeff_llocal);
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coeff_lother = parseMap(coeff, LOTHER, coeff_lother);
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coeff_urllength = parseMap(coeff, URLLENGTH, coeff_urllength);
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coeff_urlcomps = parseMap(coeff, URLCOMPS, coeff_urlcomps);
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coeff_hitcount = parseMap(coeff, HITCOUNT, coeff_hitcount);
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coeff_posintext = parseMap(coeff, POSINTEXT, coeff_posintext);
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coeff_posofphrase = parseMap(coeff, POSOFPHRASE, coeff_posofphrase);
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coeff_worddistance = parseMap(coeff, WORDDISTANCE, coeff_worddistance);
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coeff_appurl = parseMap(coeff, APPURL, coeff_appurl);
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coeff_appdescr = parseMap(coeff, APPDESCR, coeff_appdescr);
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coeff_appauthor = parseMap(coeff, APPAUTHOR, coeff_appauthor);
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coeff_apptags = parseMap(coeff, APPTAGS, coeff_apptags);
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coeff_appref = parseMap(coeff, APPREF, coeff_appref);
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coeff_appemph = parseMap(coeff, APPEMPH, coeff_appemph);
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coeff_catindexof = parseMap(coeff, CATINDEXOF, coeff_catindexof);
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coeff_cathasimage = parseMap(coeff, CATHASIMAGE, coeff_cathasimage);
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coeff_cathasaudio = parseMap(coeff, CATHASAUDIO, coeff_cathasaudio);
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coeff_cathasvideo = parseMap(coeff, CATHASVIDEO, coeff_cathasvideo);
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coeff_cathasapp = parseMap(coeff, CATHASAPP, coeff_cathasapp);
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coeff_urlcompintoplist = parseMap(coeff, URLCOMPINTOPLIST, coeff_urlcompintoplist);
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coeff_descrcompintoplist = parseMap(coeff, DESCRCOMPINTOPLIST, coeff_descrcompintoplist);
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coeff_prefer = parseMap(coeff, PREFER, coeff_prefer);
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}
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}
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private static int parseMap(HashMap coeff, String attr, int dflt) {
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if (coeff.containsKey(attr)) try {
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return ((Integer) coeff.get(attr)).intValue();
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} catch (NumberFormatException e) {
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return dflt;
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} else {
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return dflt;
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}
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}
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public String toExternalString() {
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return toExternalMap("").toString();
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}
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public Map toExternalMap(String prefix) {
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Map ext = preToExternalMap(prefix);
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ext.putAll(postToExternalMap(prefix));
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return ext;
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}
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public Map preToExternalMap(String prefix) {
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Map ext = new HashMap();
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ext.put(prefix + DOMLENGTH, Integer.toString(coeff_domlength));
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ext.put(prefix + YBR, Integer.toString(coeff_ybr));
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ext.put(prefix + DATE, Integer.toString(coeff_date));
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ext.put(prefix + WORDSINTITLE, Integer.toString(coeff_wordsintitle));
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ext.put(prefix + WORDSINTEXT, Integer.toString(coeff_wordsintext));
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ext.put(prefix + PHRASESINTEXT, Integer.toString(coeff_phrasesintext));
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ext.put(prefix + LLOCAL, Integer.toString(coeff_llocal));
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ext.put(prefix + LOTHER, Integer.toString(coeff_lother));
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ext.put(prefix + URLLENGTH, Integer.toString(coeff_urllength));
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ext.put(prefix + URLCOMPS, Integer.toString(coeff_urlcomps));
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ext.put(prefix + HITCOUNT, Integer.toString(coeff_hitcount));
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ext.put(prefix + POSINTEXT, Integer.toString(coeff_posintext));
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ext.put(prefix + POSOFPHRASE, Integer.toString(coeff_posofphrase));
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ext.put(prefix + WORDDISTANCE, Integer.toString(coeff_worddistance));
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ext.put(prefix + APPURL, Integer.toString(coeff_appurl));
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ext.put(prefix + APPDESCR, Integer.toString(coeff_appdescr));
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ext.put(prefix + APPAUTHOR, Integer.toString(coeff_appauthor));
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ext.put(prefix + APPTAGS, Integer.toString(coeff_apptags));
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ext.put(prefix + APPREF, Integer.toString(coeff_appref));
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ext.put(prefix + APPEMPH, Integer.toString(coeff_appemph));
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ext.put(prefix + CATINDEXOF, Integer.toString(coeff_catindexof));
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ext.put(prefix + CATHASIMAGE, Integer.toString(coeff_cathasimage));
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ext.put(prefix + CATHASAUDIO, Integer.toString(coeff_cathasaudio));
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ext.put(prefix + CATHASVIDEO, Integer.toString(coeff_cathasvideo));
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ext.put(prefix + CATHASAPP, Integer.toString(coeff_cathasapp));
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return ext;
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}
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public Map postToExternalMap(String prefix) {
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Map ext = new HashMap();
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ext.put(prefix + URLCOMPINTOPLIST, Integer.toString(coeff_urlcompintoplist));
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ext.put(prefix + DESCRCOMPINTOPLIST, Integer.toString(coeff_descrcompintoplist));
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ext.put(prefix + PREFER, Integer.toString(coeff_prefer));
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return ext;
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}
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public String toExternalURLGet(String prefix) {
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Iterator i = toExternalMap("").entrySet().iterator();
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Map.Entry entry;
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StringBuffer ext = new StringBuffer();
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while (i.hasNext()) {
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entry = (Map.Entry) i.next();
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ext.append("&");
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ext.append(prefix);
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ext.append((String) entry.getKey());
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ext.append("=");
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ext.append(entry.getValue());
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}
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return new String(ext);
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}
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public long preRanking(indexRWIEntry t, indexRWIEntry min, indexRWIEntry max, TreeSet searchedWords) {
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// the normalizedEntry must be a normalized indexEntry
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long ranking = 0;
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ranking += (256 - plasmaURL.domLengthNormalized(t.urlHash())) << coeff_domlength;
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ranking += plasmaSearchPreOrder.ybr_p(t.urlHash()) << coeff_ybr;
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ranking += (255 - (255 * (t.virtualAge() - min.virtualAge() ) / (1 + max.virtualAge() - min.virtualAge())) ) << coeff_date;
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ranking += (255 * (t.wordsintitle() - min.wordsintitle() ) / (1 + max.wordsintitle() - min.wordsintitle())) << coeff_wordsintitle;
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ranking += (255 * (t.wordsintext() - min.wordsintext() ) / (1 + max.wordsintext() - min.wordsintext())) << coeff_wordsintext;
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ranking += (255 * (t.phrasesintext()- min.phrasesintext()) / (1 + max.phrasesintext()- min.phrasesintext())) << coeff_phrasesintext;
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ranking += t.llocal() << coeff_llocal;
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ranking += t.lother() << coeff_lother;
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ranking += (255 - (255 * (t.urllength() - min.urllength() ) / (1 + max.urllength() - min.urllength())) ) << coeff_urllength;
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ranking += (255 - (255 * (t.urlcomps() - min.urlcomps() ) / (1 + max.urlcomps() - min.urlcomps())) ) << coeff_urlcomps;
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ranking += (255 * (t.hitcount() - min.hitcount() ) / (1 + max.hitcount() - min.hitcount())) << coeff_hitcount;
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ranking += (255 - (255 * (t.posintext() - min.posintext() ) / (1 + max.posintext() - min.posintext())) ) << coeff_posintext;
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ranking += (255 - (255 * (t.posofphrase() - min.posofphrase() ) / (1 + max.posofphrase() - min.posofphrase())) ) << coeff_posofphrase;
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ranking += (255 - (255 * (t.posinphrase() - min.posinphrase() ) / (1 + max.posinphrase() - min.posinphrase())) ) << coeff_posinphrase;
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ranking += (255 - (255 * (t.worddistance() - min.worddistance() ) / (1 + max.worddistance() - min.worddistance()))) << coeff_worddistance;
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kelondroBitfield flags = t.flags();
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ranking += (flags.get(indexRWIEntry.flag_app_url)) ? 256 << coeff_appurl : 0;
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ranking += (flags.get(indexRWIEntry.flag_app_descr)) ? 256 << coeff_appdescr : 0;
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ranking += (flags.get(indexRWIEntry.flag_app_author)) ? 256 << coeff_appauthor : 0;
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ranking += (flags.get(indexRWIEntry.flag_app_tags)) ? 256 << coeff_apptags : 0;
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ranking += (flags.get(indexRWIEntry.flag_app_reference)) ? 256 << coeff_appref : 0;
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ranking += (flags.get(indexRWIEntry.flag_app_emphasized)) ? 256 << coeff_appemph : 0;
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ranking += (flags.get(plasmaCondenser.flag_cat_indexof)) ? 256 << coeff_catindexof : 0;
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ranking += (flags.get(plasmaCondenser.flag_cat_hasimage)) ? 256 << coeff_cathasimage : 0;
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ranking += (flags.get(plasmaCondenser.flag_cat_hasaudio)) ? 256 << coeff_cathasaudio : 0;
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ranking += (flags.get(plasmaCondenser.flag_cat_hasvideo)) ? 256 << coeff_cathasvideo : 0;
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ranking += (flags.get(plasmaCondenser.flag_cat_hasapp)) ? 256 << coeff_cathasapp : 0;
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ranking += (plasmaURL.probablyRootURL(t.urlHash())) ? 16 << coeff_urllength : 0;
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ranking += (plasmaURL.probablyWordURL(t.urlHash(), searchedWords) != null) ? 256 << coeff_appurl : 0;
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return ranking;
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}
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/*
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public long preRanking(indexRWIEntry normalizedEntry, TreeSet searchedWords) {
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// the normalizedEntry must be a normalized indexEntry
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long ranking = 0;
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ranking += (256 - plasmaURL.domLengthNormalized(normalizedEntry.urlHash())) << coeff_domlength;
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ranking += plasmaSearchPreOrder.ybr_p(normalizedEntry.urlHash()) << coeff_ybr;
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ranking += normalizedEntry.virtualAge() << coeff_date;
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ranking += normalizedEntry.wordsintitle() << coeff_wordsintitle;
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ranking += normalizedEntry.wordsintext() << coeff_wordsintext;
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ranking += normalizedEntry.phrasesintext() << coeff_phrasesintext;
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ranking += normalizedEntry.llocal() << coeff_llocal;
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ranking += normalizedEntry.lother() << coeff_lother;
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ranking += (normalizedEntry.urllength() == 0) ? 0 : (256 - normalizedEntry.urllength()) << coeff_urllength;
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ranking += (normalizedEntry.urlcomps() == 0) ? 0 : (256 - normalizedEntry.urlcomps()) << coeff_urlcomps;
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ranking += (normalizedEntry.hitcount() == 0) ? 0 : normalizedEntry.hitcount() << coeff_hitcount;
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ranking += (normalizedEntry.posintext() == 0) ? 0 : (256 - normalizedEntry.posintext()) << coeff_posintext;
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ranking += (normalizedEntry.posofphrase() == 0) ? 0 : (256 - normalizedEntry.posofphrase()) << coeff_posofphrase;
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ranking += (normalizedEntry.worddistance() == 0) ? 0 : (256 - normalizedEntry.worddistance()) << coeff_worddistance;
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kelondroBitfield flags = normalizedEntry.flags();
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ranking += (flags.get(indexRWIEntry.flag_app_url)) ? 256 << coeff_appurl : 0;
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ranking += (flags.get(indexRWIEntry.flag_app_descr)) ? 256 << coeff_appdescr : 0;
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ranking += (flags.get(indexRWIEntry.flag_app_author)) ? 256 << coeff_appauthor : 0;
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ranking += (flags.get(indexRWIEntry.flag_app_tags)) ? 256 << coeff_apptags : 0;
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ranking += (flags.get(indexRWIEntry.flag_app_reference)) ? 256 << coeff_appref : 0;
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ranking += (flags.get(indexRWIEntry.flag_app_emphasized)) ? 256 << coeff_appemph : 0;
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ranking += (flags.get(plasmaCondenser.flag_cat_indexof)) ? 256 << coeff_catindexof : 0;
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ranking += (flags.get(plasmaCondenser.flag_cat_hasimage)) ? 256 << coeff_cathasimage : 0;
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ranking += (flags.get(plasmaCondenser.flag_cat_hasaudio)) ? 256 << coeff_cathasaudio : 0;
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ranking += (flags.get(plasmaCondenser.flag_cat_hasvideo)) ? 256 << coeff_cathasvideo : 0;
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ranking += (flags.get(plasmaCondenser.flag_cat_hasapp)) ? 256 << coeff_cathasapp : 0;
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ranking += (plasmaURL.probablyRootURL(normalizedEntry.urlHash())) ? 16 << coeff_urllength : 0;
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ranking += (plasmaURL.probablyWordURL(normalizedEntry.urlHash(), searchedWords) != null) ? 256 << coeff_appurl : 0;
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return ranking;
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}
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*/
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public long postRanking(
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long ranking,
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plasmaSearchQuery query,
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Set topwords,
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String[] urlcomps,
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String[] descrcomps,
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indexURLEntry page) {
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// for media search: prefer pages with many links
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if (query.contentdom == plasmaSearchQuery.CONTENTDOM_IMAGE) ranking += page.limage() << coeff_cathasimage;
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if (query.contentdom == plasmaSearchQuery.CONTENTDOM_AUDIO) ranking += page.limage() << coeff_cathasaudio;
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if (query.contentdom == plasmaSearchQuery.CONTENTDOM_VIDEO) ranking += page.limage() << coeff_cathasvideo;
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if (query.contentdom == plasmaSearchQuery.CONTENTDOM_APP ) ranking += page.limage() << coeff_cathasapp;
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// prefer hit with 'prefer' pattern
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indexURLEntry.Components comp = page.comp();
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if (comp.url().toNormalform(true, true).matches(query.prefer)) ranking += 256 << coeff_prefer;
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if (comp.title().matches(query.prefer)) ranking += 256 << coeff_prefer;
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|
|
|
// apply 'common-sense' heuristic using references
|
|
for (int j = 0; j < urlcomps.length; j++) {
|
|
if (topwords.contains(urlcomps[j])) ranking += 256 << coeff_urlcompintoplist;
|
|
}
|
|
for (int j = 0; j < descrcomps.length; j++) {
|
|
if (topwords.contains(descrcomps[j])) ranking += 256 << coeff_descrcompintoplist;
|
|
}
|
|
|
|
// apply query-in-result matching
|
|
Set urlcomph = plasmaCondenser.words2hashSet(urlcomps);
|
|
Set descrcomph = plasmaCondenser.words2hashSet(descrcomps);
|
|
Iterator shi = query.queryHashes.iterator();
|
|
String queryhash;
|
|
while (shi.hasNext()) {
|
|
queryhash = (String) shi.next();
|
|
if (urlcomph.contains(queryhash)) ranking += 256 << coeff_appurl;
|
|
if (descrcomph.contains(queryhash)) ranking += 256 << coeff_appdescr;
|
|
}
|
|
|
|
return ranking;
|
|
}
|
|
|
|
}
|