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yacy_search_server/source/de/anomic/plasma/plasmaSearchRankingProfile....

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