def main(argv):
#load the session
#find the terms
porter = stem.porter.PorterStemmer()
searcher = SearchIndex(argv[2])
searcher.initializeAnalyzer()
#oSession = open('session-words.all','w')
#oClicked = open('clicked-words.all','w')
oOtherSession = open('other-session-words.all', 'w')
oOtherClicked = open('other-clicked-words.all', 'w')
otherSessions = {}
otherClicked = {}
ranker = Ranker()
qId = 1
for topicId, session, doc, click, cTitle, cSummary in getSessionWithXML(
argv[1]):
if topicId not in otherSessions:
otherSessions[topicId] = {}
otherClicked[topicId] = {}
#add session terms
sessionTerms = getSessionTerms(session, porter)
otherSessions[topicId] = mergeDicts(otherSessions[topicId], sessionTerms)
#eTerms = ranker.getTopKWithFilter(sessionTerms,10,15)
#print session[-1], sessionTerms, eTerms
#k = 0
#for entry in searcher.getTopDocumentsWithExpansion(session[-1],eTerms, 1000, 'content','id'):
#oSession.write(str(qId)+' Q0 '+entry[0]+' '+str(k)+' '+str(round(entry[1],2))+' session\n')
#k+=1
#add clicked terms
cTTerms, cSTerms = getClickedSummaryTerms(session, joinLists(
cSummary.values()), joinLists(cTitle.values()), porter)
nTerms = mergeDicts(cTTerms, cSTerms)
otherClicked[topicId] = mergeDicts(otherClicked[topicId], nTerms)
#fTerms = normalizeDict(nTerms, porter)
#eTerms = ranker.getTopKWithFilter(nTerms,10,15)
##
#k = 0
#for entry in searcher.getTopDocumentsWithExpansion(session[-1],eTerms, 1000, 'content','id'):
#oClicked.write(str(qId)+' Q0 '+entry[0]+' '+str(k)+' '+str(round(entry[1],2))+' click\n')
#k+=1
qId += 1
oSession.close()
oClicked.close()
searcher.close()
def main(argv):
searcher = SearchIndex(argv[2])
searcher.initializeAnalyzer()
oFile = open('baseline-session-14.all', 'w')
#oFile = {}
qId = 1
for session, doc, click, cTitle, csummary in getSessionWithXML(argv[1]):
print session[-1]
k = 0
for entry in searcher.getTopDocuments(session[-1], 1000, 'content', 'id'):
oFile.write(str(qId) + ' Q0 ' + entry[0] + ' ' + str(k) + ' ' + str(round(
entry[1], 2)) + ' baseline\n')
k += 1
qId += 1
#qId = split[0]
#lenth = int(split[1])
#query = split[2]
#terms = ast.literal_eval(split[-1])
#rankr = Ranker()
#sortedTerms = rankr.getTopK(terms, 50)
#lenth = int(split[-1])
'''for step in xrange(0,55,5):
lenth = step
if step == 0:
lenth = 1
'''
'''if lenth > 0 and lenth < 60:
if lenth not in oFile:
oFile[lenth] =
open(argv[3]+'_'+str(lenth)+'.RL1','w')
docList =
searcher.getTopDocumentsWithExpansion(query,terms[:lenth],2000,'content','id')
k = 1
for dtuple in docList:
oFile[lenth].write(qId+' Q0 '+dtuple[0]+'
'+str(k)+' '+str(round(dtuple[1],2))+' prob\n')
k+=1
for i in oFile.keys():
oFile[i].close()
'''
oFile.close()
searcher.close()
catManage2 = CategoryManager(catVect, argv[5], CategorySubcluster)
#ranker
ranker = Ranker()
entExp1 = CatThesExpansion(dexter, catManage1, ranker, catCoMan, None)
entExp2 = CatThesExpansion(dexter, catManage2, ranker, catCoMan, None)
oFile1 = open(argv[1][:argv[1].rfind('.')] + '_ent.txt', 'w')
oFile2 = open(argv[1][:argv[1].rfind('.')] + '_entSub.txt', 'w')
i = 0
porter = stem.porter.PorterStemmer()
totalVocab = loadFileInList(argv[7])
stats = {'sess': 0.0, 'aTerms': 0.0, 'ent': 0.0, 'enta': 0.0, 'acount': 0.0}
for session, documents, clicks, cTitle, scontents in getSessionWithXML(
argv[1]):
query = session[0]
cText = None
aTerms, rTerms = addedAndRemovedTerms(query, session[1:], totalVocab)
entStatus2, entExpTerms2 = entExp2.getTopSubclusters(query, cText, 1, 5)
if entStatus2:
stats['ent'] += 1
if len(aTerms) > 0:
stats['aTerms'] += 1
if entStatus2:
stats['enta'] += 1.0
stats['sess'] += 1.0
stats['acount'] += len(aTerms)
def main(argv):
#open the index
searcher = SearchIndex(argv[2])
searcher.initializeAnalyzer()
ipaddress = 'localhost'
#dexter object
tagURL = 'http://' + ipaddress + ':8080/rest/annotate'
catURL = 'http://' + ipaddress + ':8080/rest/graph/get-entity-categories'
dexter = Dexter(tagURL, catURL, argv[7])
#category vector
catVect = loadCategoryVector(argv[3])
catManage1 = CategoryManager(catVect, argv[4], Category)
catManage2 = CategoryManager(catVect, argv[5], CategorySubcluster)
#load the Category co-occurrence bit
catCoMan = CoOcManager(argv[6], CoOccurrence(), ' ')
#ranker
ranker = Ranker()
#task extraction
htcTask = TaskExpansion('Indexes/htcIndex', ranker, 3000)
qccTask = TaskExpansion('Indexes/qccIndex', ranker, 3000)
#taskK = argv[5][argv[5].rfind('/')+1:]
#totalVocab = loadFileInList(argv[6]);
#expansion
entExp1 = CatThesExpansion(dexter, catManage1, ranker, catCoMan)
entExp2 = CatThesExpansion(dexter, catManage2, ranker, catCoMan)
#term expansion
coOccExp = CoOccurExpansion(catCoMan, None, ranker)
rel, noRel = loadRelJudgements(argv[8])
outFolder = argv[9]
#randomWalk
#randWalk = RandomWalk(argv[3],argv[4],ranker)
#randWalk = RandomWalk(catManage,catCoMan,entTermVect, catTermVect,ranker)
#result String
#query key terms
#queryList = loadQueryList(argv[4]);
#plotMap = {'baseline':{},'ent':{}, 'entSub':{}, 'qccTask':{}, 'htcTask':{},'co':{}};
#plotNDCG = {'baseline':{},'ent':{}, 'entSub':{}, 'qccTask':{}, 'htcTask':{},'co':{}};
#viewedFileFolder = argv[5]
#i=0
##qMap = [];
##qNdcg = [];
#meth = 'baseline'
#oFile = open(outFolder+'/baseline.RL1','w');
#covered = {};
#porter = stem.porter.PorterStemmer();
#for session, viewDocs, clickDocs, cTitle, cSummary in getSessionWithXML(argv[1]):
#i+=1
#query = session[0].strip();
#if i in rel and query not in covered:
#covered[query] = 1.0;
#docList = searcher.getTopDocuments(query,1000,'content','id');
#k = 1
#for dtuple in docList:
#oFile.write(str(i)+' Q0 '+dtuple[0]+' '+str(k)+' '+str(round(dtuple[1],2))+' baseline\n');
#k +=1
#'''qmap = findAvgPrec(docList,rel[i],noRel[i]);
#dcg10, idcg10 = findDCG(docList[:10],rel[i]);
##print dcg10, idcg10, rel[i].values();
#ndcg10 = 0.0;
#if idcg10 > 0:
#ndcg10 = dcg10/idcg10;
#qMap.append(qmap);
#qNdcg.append(ndcg10);
#oFile.write('ndcg10 '+str(i)+' '+str(ndcg10)+'\n');
#oFile.write('map '+str(i)+' '+str(qmap)+'\n');
#'''
#else:
#print 'No rel ', i, session[0];
#oFile.close();
#'''
#fmap = sum(qMap)/len(qMap);
#fnd = sum(qNdcg)/len(qNdcg);
#oFile.write('all map ' +str(fmap)+'\n');
#oFile.write('all ndcg10 '+str(fnd)+'\n');
#for val in range(0,55,5):
#plotMap[meth][val] = fmap;
#plotNDCG[meth][val] = fnd;
#oFile.close();
#'''
i = 0
#qMap = {};
#qNdcg = {};
oFile = {}
meth = 'co'
covered = {}
for session, viewDocs, clickDocs, cTitle, cSummary in getSessionWithXML(
argv[1]):
i += 1
query = session[0].strip()
if i in rel and query not in covered:
covered[query] = 1.0
coExpTerms = coOccExp.expandTextWithStep(query, 50, 55, 5)
for noTerms, terms in coExpTerms.items():
#if noTerms not in qMap:
# qMap[noTerms] = [];
# qNdcg[noTerms] = [];
if noTerms not in oFile:
oFile[noTerms] = open(
outFolder + '/' + meth + '_' + str(noTerms) + '.RL1', 'w')
docList = searcher.getTopDocumentsWithExpansion(query, terms, 1000,
'content', 'id')
k = 1
for dtuple in docList:
oFile[noTerms].write(str(i) + ' Q0 ' + dtuple[0] + ' ' + str(k) + ' '
+ str(round(dtuple[1], 2)) + ' baseline\n')
k += 1
'''qmap = findAvgPrec(docList,rel[i],noRel[i]);
dcg10, idcg10 = findDCG(docList[:10],rel[i]);
ndcg10 = 0.0;
if idcg10 > 0:
ndcg10 = dcg10/idcg10;
qMap[noTerms].append(qmap);
qNdcg[noTerms].append(ndcg10);
oFile[noTerms].write('ndcg10 '+str(i)+'
'+str(ndcg10)+' '+str(dcg10)+'
'+str(idcg10)+'\n');
oFile[noTerms].write('map '+str(i)+'
'+str(qmap)+'\n');
'''
'''
for entry, vlist in qMap.items():
i = len(vlist);
fmap = sum(vlist)/i;
fnd = sum(qNdcg[entry])/i;
print sum(vlist), len(vlist);
oFile[entry].write('all map ' +str(fmap)+'\n');
oFile[entry].write('all ndcg10 '+str(fnd)+'\n');
plotMap[meth][entry] = fmap;
plotNDCG[meth][entry] = fnd;
oFile[entry].close();
'''
for entry in oFile.keys():
oFile[entry].close()
i = 0
#qMap = {};
#qNdcg = {};
oFile = {}
meth = 'ent'
covered = {}
for session, viewDocs, clickDocs, cTitle, cSummary in getSessionWithXML(
argv[1]):
i += 1
query = session[0].strip()
cText = normalize(' '.join(cTitle[0]), porter)
if i in rel and query not in covered:
covered[query] = 1.0
entStatus1, entExpTerms1 = entExp1.expandTextWithStep(query, cText, 1, 50,
55, 5)
for noTerms, terms in entExpTerms1.items():
#if noTerms not in qMap:
# qMap[noTerms] = [];
# qNdcg[noTerms] = [];
if noTerms not in oFile:
oFile[noTerms] = open(
outFolder + '/' + meth + '_' + str(noTerms) + '.RL1', 'w')
docList = searcher.getTopDocumentsWithExpansion(session[0], terms, 1000,
'content', 'id')
k = 1
for dtuple in docList:
oFile[noTerms].write(str(i) + ' Q0 ' + dtuple[0] + ' ' + str(k) + ' '
+ str(round(dtuple[1], 2)) + ' baseline\n')
k += 1
'''
qmap = findAvgPrec(docList,rel[i],noRel[i]);
dcg10, idcg10 = findDCG(docList[:10],rel[i]);
ndcg10 = 0.0;
if idcg10 > 0:
ndcg10 = dcg10/idcg10;
qMap[noTerms].append(qmap);
qNdcg[noTerms].append(ndcg10);
oFile[noTerms].write('ndcg10 '+str(i)+'
'+str(ndcg10)+' '+str(dcg10)+'
'+str(idcg10)+'\n');
oFile[noTerms].write('map '+str(i)+'
'+str(qmap)+'\n');
for entry, vlist in qMap.items():
i = len(vlist);
fmap = sum(qMap[entry])/i;
fnd = sum(qNdcg[entry])/i;
oFile[entry].write('all map ' +str(fmap)+'\n');
oFile[entry].write('all ndcg10 '+str(fnd)+'\n');
plotMap[meth][entry] = fmap;
plotNDCG[meth][entry] = fnd;
oFile[entry].close();
'''
for entry in oFile.keys():
oFile[entry].close()
i = 0
#qMap = {};
#qNdcg = {};
oFile = {}
meth = 'entSub'
covered = {}
for session, viewDocs, clickDocs, cTitle, cSummary in getSessionWithXML(
argv[1]):
i += 1
query = session[0].strip()
cText = normalize(' '.join(cTitle[0]), porter)
if i in rel and query not in covered:
covered[query] = 1.0
entStatus2, entExpTerms2 = entExp2.expandTextWithStepAndSubcluster(
query, cText, 1, 50, 55, 5)
for noTerms, terms in entExpTerms2.items():
#if noTerms not in qMap:
#qMap[noTerms] = [];
#qNdcg[noTerms] = [];
if noTerms not in oFile:
oFile[noTerms] = open(
outFolder + '/' + meth + '_' + str(noTerms) + '.RL1', 'w')
docList = searcher.getTopDocumentsWithExpansion(session[0], terms, 1000,
'content', 'id')
k = 1
for dtuple in docList:
oFile[noTerms].write(str(i) + ' Q0 ' + dtuple[0] + ' ' + str(k) + ' '
+ str(round(dtuple[1], 2)) + ' baseline\n')
k += 1
'''qmap = findAvgPrec(docList,rel[i],noRel[i]);
dcg10, idcg10 = findDCG(docList[:10],rel[i]);
ndcg10 = 0.0;
if idcg10 > 0:
ndcg10 = dcg10/idcg10;
qMap[noTerms].append(qmap);
qNdcg[noTerms].append(ndcg10);
oFile[noTerms].write('ndcg10 '+str(i)+'
'+str(ndcg10)+' '+str(dcg10)+'
'+str(idcg10)+'\n');
oFile[noTerms].write('map '+str(i)+'
'+str(qmap)+'\n');
for entry, vlist in qMap.items():
i = len(vlist);
fmap = sum(qMap[entry])/i;
fnd = sum(qNdcg[entry])/i;
oFile[entry].write('all map ' +str(fmap)+'\n');
oFile[entry].write('all ndcg10 '+str(fnd)+'\n');
plotMap[meth][entry] = fmap;
plotNDCG[meth][entry] = fnd;
oFile[entry].close();
'''
for entry in oFile.keys():
oFile[entry].close()
i = 0
#qMap = {};
#qNdcg = {};
oFile = {}
meth = 'qccTask'
covered = {}
for session, viewDocs, clickDocs, cTitle, cSummary in getSessionWithXML(
argv[1]):
i += 1
query = session[0].strip()
if i in rel and query not in covered:
covered[query] = 1.0
qccTaskTerms = qccTask.expandTextWithStep(query, 50, 55, 5)
for noTerms, terms in qccTaskTerms.items():
#if noTerms not in qMap:
#qMap[noTerms] = [];
#qNdcg[noTerms] = [];
if noTerms not in oFile:
oFile[noTerms] = open(
outFolder + '/' + meth + '_' + str(noTerms) + '.RL1', 'w')
docList = searcher.getTopDocumentsWithExpansion(session[0], terms, 1000,
'content', 'id')
k = 1
for dtuple in docList:
oFile[noTerms].write(str(i) + ' Q0 ' + dtuple[0] + ' ' + str(k) + ' '
+ str(round(dtuple[1], 2)) + ' baseline\n')
k += 1
#qmap = findAvgPrec(docList,rel[i],noRel[i]);
#dcg10, idcg10 = findDCG(docList[:10],rel[i]);
#ndcg10 = 0.0;
#if idcg10 > 0:
#ndcg10 = dcg10/idcg10;
#
#qMap[noTerms].append(qmap);
#qNdcg[noTerms].append(ndcg10);
#oFile[noTerms].write('ndcg10 '+str(i)+' '+str(ndcg10)+' '+str(dcg10)+' '+str(idcg10)+'\n');
#oFile[noTerms].write('map '+str(i)+' '+str(qmap)+'\n');
#
#for entry, vlist in qMap.items():
#i = len(vlist);
#fmap = sum(qMap[entry])/i;
#fnd = sum(qNdcg[entry])/i;
#oFile[entry].write('all map ' +str(fmap)+'\n');
#oFile[entry].write('all ndcg10 '+str(fnd)+'\n');
#plotMap[meth][entry] = fmap;
#plotNDCG[meth][entry] = fnd;
#oFile[entry].close();
#
for entry in oFile.keys():
oFile[entry].close()
i = 0
#qMap = {};
#qNdcg = {};
oFile = {}
meth = 'htcTask'
covered = {}
for session, viewDocs, clickDocs, cTitle, cSummary in getSessionWithXML(
argv[1]):
i += 1
query = session[0].strip()
if i in rel and query not in covered:
covered[query] = 1.0
htcTaskTerms = htcTask.expandTextWithStep(query, 50, 55, 5)
for noTerms, terms in htcTaskTerms.items():
#if noTerms not in qMap:
#qMap[noTerms] = [];
#qNdcg[noTerms] = [];
if noTerms not in oFile:
oFile[noTerms] = open(
outFolder + '/' + meth + '_' + str(noTerms) + '.RL1', 'w')
docList = searcher.getTopDocumentsWithExpansion(session[0], terms, 1000,
'content', 'id')
k = 1
for dtuple in docList:
oFile[noTerms].write(str(i) + ' Q0 ' + dtuple[0] + ' ' + str(k) + ' '
+ str(round(dtuple[1], 2)) + ' baseline\n')
k += 1
#qmap = findAvgPrec(docList,rel[i],noRel[i]);
#dcg10, idcg10 = findDCG(docList[:10],rel[i]);
#ndcg10 = 0.0;
#if idcg10 > 0:
#ndcg10 = dcg10/idcg10;
#qMap[noTerms].append(qmap);
#qNdcg[noTerms].append(ndcg10);
#oFile[noTerms].write('ndcg10 '+str(i)+' '+str(ndcg10)+' '+str(dcg10)+' '+str(idcg10)+'\n');
#oFile[noTerms].write('map '+str(i)+' '+str(qmap)+'\n');
#
#for entry, vlist in qMap.items():
#i = len(vlist);
#fmap = sum(qMap[entry])/i;
#fnd = sum(qNdcg[entry])/i;
#oFile[entry].write('all map ' +str(fmap)+'\n');
#oFile[entry].write('all ndcg10 '+str(fnd)+'\n');
#plotMap[meth][entry] = fmap;
#plotNDCG[meth][entry] = fnd;
#oFile[entry].close();
for entry in oFile.keys():
oFile[entry].close()
#plotMultipleSys(plotMap,'No of Terms', 'MAP',outFolder+'/map.png','Retrieval MAP Plot');
#plotMultipleSys(plotNDCG,'No of Terms', 'NDCG@10',outFolder+'/ndcg10.png','Retrieval NDCG Plot');
searcher.close()
def main(argv):
#Scorer
coSessOccur = CoOccurrence()
coSessOcMan = CoOcManager(argv[2], coSessOccur, ' ')
tScorer = CoOccurSimScore(coSessOcMan)
cScorer = ScoreClusterTerms()
#vocab = set()
i = 0
prec = {}
mrr = {}
lim = 55
queryList = loadFileInList(argv[5])
termList, termDict = getTermList(queryList)
print len(termList)
added = 0
oracle_prec = 0.0
oracle_mrr = 0.0
for tid, session, viewDocs, clickDocs, cTitle, cSummary in getSessionWithXML(
argv[1]):
query = session[0].strip()
aTerms, rTerms = addedAndRemovedTerms(query, session[1:], termDict)
if len(aTerms) > 0:
prec1, mrr1 = getPrecRecall(termList, aTerms)
added += 1.0
oracle_prec += prec1
oracle_mrr += mrr1
print 'Oracle prec and recall ', oracle_prec / added, oracle_mrr / added
porter = stem.porter.PorterStemmer()
ttype = argv[6]
print ttype
for iFile in os.listdir(argv[3]):
qclusters = loadClusters(argv[3] + '/' + iFile)
clusters, clusIndex = toTerms(qclusters)
print iFile, len(clusters)
prec[iFile] = {}
mrr[iFile] = {}
added = 0.0
i = 1
for tid, session, viewDocs, clickDocs, cTitle, cSummary in getSessionWithXML(
argv[1]):
i += 1
query = session[0].strip()
qSet = getQueryTermsStemmed(query, porter)
print 'Query ', query, qSet
if ttype == 'query':
aTerms, rTerms = addedAndRemovedTerms(query, session[1:], termDict)
elif ttype == 'title':
aTerms = getTerms(cTitle, qSet, termDict, porter, range(
1, len(session) - 1))
else:
aTerms = getTerms(cTitle, qSet, termDict, porter, range(
1, len(session) - 1))
bTerms = getTerms(cSummary, qSet, termDict, porter, range(
1, len(session) - 1))
aTerms = aTerms | bTerms
#aTerms,rTerms = addedAndRemovedTerms(query, session[1:], None )
if len(aTerms) > 0:
terms = cScorer.scoreWithIndex(qSet, clusters, clusIndex, tScorer, lim)
#terms = cScorer.scoreWithClustPos(qSet, clusters,tScorer, lim)
print 'TERMS', '\t', i, '\t', ttype, '\t', iFile, '\t', len(
terms), terms
#for topk in range(1,lim,5):
prec1, mrr1 = getClustPrecMrr(terms, aTerms) # returns a list
print 'METRIC', iFile, i, prec1, mrr1
#print topk , prec1, mrr1
for topk in prec1.keys():
if topk not in prec[iFile]:
prec[iFile][topk] = []
mrr[iFile][topk] = []
prec[iFile][topk].append(prec1[topk])
mrr[iFile][topk].append(mrr1[topk])
#prec[iFile][topk] += prec1
#mrr[iFile][topk] += mrr1
added += 1.0
#if i == 3:
# break
for fName, scoreDict in prec.items():
for pos in scoreDict.keys():
print 'Prec all', fName, pos, len(scoreDict[pos])
total = sum(scoreDict[pos])
prec[fName][pos] = total / added #len(scoreDict[pos])
print 'Prec', fName, pos, prec[fName][pos], total
for fName, scoreDict in mrr.items():
for pos in scoreDict.keys():
print 'Mrr all', fName, pos, len(scoreDict[pos])
total = sum(mrr[fName][pos])
mrr[fName][pos] = total / added #len(scoreDict[pos])
print 'MRR', fName, pos, mrr[fName][pos], total
#for entry in prec.keys():
#for t in prec[entry].keys():
#print 'Prec',entry, t, prec[entry][t], prec[entry][t]/added
#prec[entry][t]/=added
#for entry in mrr.keys():
#for t in mrr[entry].keys():
#print 'Mrr',entry, t, mrr[entry][t], mrr[entry][t]/added
#mrr[entry][t]/=added
print 'Plotting Precision and MRR'
plotMultipleSys(prec, 'No of Terms', 'Prec', argv[4] + 'prec.png',
'Term Prediction Prec Plot')
plotMultipleSys(mrr, 'No of Terms', 'MRR', argv[4] + 'mrr.png',
'Term Prediction MRR Plot')
def main(argv):
ipaddress = "localhost"
# dexter object
tagURL = "http://" + ipaddress + ":8080/rest/annotate"
catURL = "http://" + ipaddress + ":8080/rest/graph/get-entity-categories"
dexter = Dexter(tagURL, catURL, argv[5])
# load the Category co-occurrence bit
catCoMan = CoOcManager(argv[4], CoOccurrence(), " ")
# category vector
catVect = loadCategoryVector(argv[2])
catManage1 = CategoryManager(catVect, argv[3], Category)
catManage2 = CategoryManager(catVect, argv[7], CategorySubcluster)
# ranker
ranker = Ranker()
totalVocab = loadFileInList(argv[6])
# task extraction
# htcTask = TaskExpansion('Indexes/htcIndex',ranker,3000);
qccTask = TaskExpansion("Indexes/qccIndex", ranker, 3000, totalVocab)
# taskK = argv[5][argv[5].rfind('/')+1:]
wordFeatMan = None
# WordManager(argv[8],False);
# expansion
# entExp1 = CatThesExpansion(dexter, catManage1, ranker,catCoMan,wordFeatMan);
entExp2 = CatThesExpansion(dexter, catManage2, ranker, catCoMan, wordFeatMan)
# term expansion
coOccExp = CoOccurExpansion(catCoMan, None, ranker)
# randomWalk
# randWalk = RandomWalk(argv[2],argv[3],ranker)
prec = {"ent": {}, "qccTask": {}, "htcTask": {}, "co": {}, "entSub": {}}
mrr = {"ent": {}, "qccTask": {}, "htcTask": {}, "co": {}, "entSub": {}}
ent_prec = {"ent": {}, "qccTask": {}, "htcTask": {}, "co": {}, "entSub": {}}
ent_mrr = {"ent": {}, "qccTask": {}, "htcTask": {}, "co": {}, "entSub": {}}
"""
sess_prec = {};
sess_mrr = {};
"""
covered = {}
i = 0
porter = stem.porter.PorterStemmer()
ttype = argv[10]
for session, doc, click, cTitle, cSummary in getSessionWithXML(argv[1]):
query = session[0]
qSet = getQueryTerms(query)
# print 'Title, Summary clicked ',cTitle[0], cSummary[0];
aTerms = None
# cText = normalize(' '.join(cTitle[0]),porter);
if ttype == "query":
aTerms, rTerms = addedAndRemovedTerms(query, session[1:], totalVocab)
elif ttype == "title":
aTerms = getTerms(cTitle, qSet, totalVocab, porter, range(1, len(session) - 1))
else:
aTerms = getTerms(cTitle, qSet, totalVocab, porter, range(1, len(session) - 1))
bTerms = getTerms(cSummary, qSet, totalVocab, porter, range(1, len(session) - 1))
aTerms = aTerms | bTerms
print i, "Query", query, aTerms, len(aTerms)
if len(aTerms) > 0: # and query not in covered:
covered[query] = 1
coExpTerms = coOccExp.expandTextWithStep(query, 0, 55, 5)
# entStatus1, entExpTerms1 = entExp1.expandTextWithStep(query,'',1,0,55,5);
entStatus1, entExpTerms2 = entExp2.expandTextWithStepAndSubcluster(query, "", 1, 0, 55, 5)
qccTaskTerms = qccTask.expandTextWithStep(query, 0, 55, 5)
# htcTaskTerms = htcTask.expandTextWithStep(query,0,55,5)
# randExpTerms = randWalk.expandTextWithStep(query,55,105,5)
if not entStatus1:
print i, "Ent False", query
# addLen = getBand(len(aTerms));
# if addLen not in sess_prec:
# sess_prec[addLen] = {'ent':{}};#, 'qccTask':{}, 'htcTask':{}, 'co':{} };
# sess_mrr[addLen] = {'ent':{}};#, 'qccTask':{}, 'htcTask':{}, 'co':{} };
# for noTerms in entExpTerms1.keys():
# print 'ETerms\t',i,'\t',query,'\t',entExpTerms1[noTerms],'\t',noTerms;
# prec1 , mrr1 = getPrecRecall(entExpTerms1[noTerms],aTerms);
# prec = updateStats(noTerms, 'ent',prec1, prec);
# mrr = updateStats(noTerms, 'ent',mrr1, mrr);
# if entStatus1:
# ent_prec = updateStats(noTerms, 'ent',prec1, ent_prec)
# ent_mrr = updateStats(noTerms, 'ent',mrr1, ent_mrr);
##sess_prec[addLen] = updateStats(noTerms, 'ent',prec1, sess_prec[addLen])
##sess_mrr[addLen] = updateStats(noTerms, 'ent',mrr1, sess_mrr[addLen]);
# print 'EMetrics ',i,'\t',noTerms,'\t', len(aTerms), '\t', aTerms, '\t',prec1, '\t',mrr1;
#
for noTerms in entExpTerms2.keys():
print "ESubTerms\t", i, "\t", query, "\t", entExpTerms2[noTerms], "\t", noTerms
prec1, mrr1 = getPrecRecall(entExpTerms2[noTerms], aTerms)
prec = updateStats(noTerms, "entSub", prec1, prec)
mrr = updateStats(noTerms, "entSub", mrr1, mrr)
if entStatus1:
ent_prec = updateStats(noTerms, "entSub", prec1, ent_prec)
ent_mrr = updateStats(noTerms, "entSub", mrr1, ent_mrr)
# sess_prec[addLen] = updateStats(noTerms, 'ent',prec1, sess_prec[addLen])
# sess_mrr[addLen] = updateStats(noTerms, 'ent',mrr1, sess_mrr[addLen]);
print "ESubMetrics ", i, "\t", noTerms, "\t", len(aTerms), "\t", aTerms, "\t", prec1, "\t", mrr1
for noTerms in qccTaskTerms.keys():
print "qccTaskTerms\t", i, "\t", query, "\t", qccTaskTerms[noTerms], "\t", noTerms
prec1, mrr1 = getPrecRecall(qccTaskTerms[noTerms], aTerms)
prec = updateStats(noTerms, "qccTask", prec1, prec)
mrr = updateStats(noTerms, "qccTask", mrr1, mrr)
if entStatus1:
ent_prec = updateStats(noTerms, "qccTask", prec1, ent_prec)
ent_mrr = updateStats(noTerms, "qccTask", mrr1, ent_mrr)
"""
sess_prec[addLen] = updateStats(noTerms, 'qccTask',prec1, sess_prec[addLen])
sess_mrr[addLen] = updateStats(noTerms, 'qccTask',mrr1, sess_mrr[addLen]);
"""
print "qccTaskMetrics ", i, "\t", noTerms, "\t", len(aTerms), "\t", aTerms, "\t", prec1, "\t", mrr1
# for noTerms in htcTaskTerms.keys():
# print 'htcTaskTerms\t',i,'\t',query,'\t',htcTaskTerms[noTerms],'\t',noTerms
# prec1 , mrr1 = getPrecRecall(htcTaskTerms[noTerms],aTerms)
# prec = updateStats(noTerms, 'htcTask',prec1, prec)
# mrr = updateStats(noTerms, 'htcTask',mrr1, mrr);
# if entStatus1:
# ent_prec = updateStats(noTerms, 'htcTask',prec1, ent_prec)
# ent_mrr = updateStats(noTerms, 'htcTask',mrr1, ent_mrr);
##sess_prec[addLen] = updateStats(noTerms, 'htcTask',prec1, sess_prec[addLen])
##sess_mrr[addLen] = updateStats(noTerms, 'htcTask',mrr1, sess_mrr[addLen]);
#
# print 'htcTaskMetrics ',i,'\t',noTerms,'\t', len(aTerms), '\t', aTerms, '\t',prec1, '\t',mrr1
for noTerms in coExpTerms.keys():
print "CoTerms\t", i, "\t", query, "\t", coExpTerms[noTerms], "\t", noTerms
prec1, mrr1 = getPrecRecall(coExpTerms[noTerms], aTerms)
prec = updateStats(noTerms, "co", prec1, prec)
mrr = updateStats(noTerms, "co", mrr1, mrr)
if entStatus1:
ent_prec = updateStats(noTerms, "co", prec1, ent_prec)
ent_mrr = updateStats(noTerms, "co", mrr1, ent_mrr)
"""
sess_prec[addLen] = updateStats(noTerms, 'co',prec1, sess_prec[addLen])
sess_mrr[addLen] = updateStats(noTerms, 'co' ,mrr1, sess_mrr[addLen]);
"""
print "CoMetrics ", i, "\t", noTerms, "\t", len(aTerms), "\t", aTerms, "\t", prec1, "\t", mrr1
else:
pass
# print 'NO ADDED TERMS in', i;
i += 1
printMetric(prec, "entSub", "Prec")
printMetric(mrr, "entSub", "Mrr")
printMetric(prec, "ent", "Prec")
printMetric(mrr, "ent", "Mrr")
printMetric(prec, "htcTask", "Prec")
printMetric(mrr, "htcTask", "Mrr")
printMetric(prec, "qccTask", "Prec")
printMetric(mrr, "qccTask", "Mrr")
printMetric(prec, "co", "Prec")
printMetric(mrr, "co", "Mrr")
printMetric(ent_prec, "entSub", "EntPrec")
printMetric(ent_mrr, "entSub", "EntMrr")
printMetric(ent_prec, "ent", "EntPrec")
printMetric(ent_mrr, "ent", "EntMrr")
printMetric(ent_prec, "htcTask", "EntPrec")
printMetric(ent_mrr, "htcTask", "EntMrr")
printMetric(ent_prec, "qccTask", "EntPrec")
printMetric(ent_mrr, "qccTask", "EntMrr")
printMetric(ent_prec, "co", "EntPrec")
printMetric(ent_mrr, "co", "EntMrr")
plotMultipleSys(
prec,
"No of Terms",
"Prec",
argv[9] + "/" + argv[1][argv[1].rfind("/") + 1 : -4] + "_" + "prec.png",
"Term Prediction Prec Plot",
)
plotMultipleSys(
mrr,
"No of Terms",
"MRR",
argv[9] + "/" + argv[1][argv[1].rfind("/") + 1 : -4] + "_" + "mrr.png",
"Term Prediction MRR Plot",
)
plotMultipleSys(
ent_prec,
"No of Terms",
"Prec",
argv[9] + "/" + argv[1][argv[1].rfind("/") + 1 : -4] + "_" + "_ent_prec.png",
"Term Prediction Prec Plot (Ent queries)",
)
plotMultipleSys(
ent_mrr,
"No of Terms",
"MRR",
argv[9] + "/" + argv[1][argv[1].rfind("/") + 1 : -4] + "_" + "_ent_mrr.png",
"Term Prediction MRR Plot (Ent queries)",
)
# htcTask.closeIndex();
qccTask.closeIndex()
"""
