Exemplo n.º 1
0
def argMax_XleftOvers(left, s, wd, wr, query):
    """grid search over ranked list to find most
       diverse and relevant doc at a time"""

    if len(s) == 0:
        return 0, 10.0 # choose the first one
    else:
        f_measures = []
        # compute f_measure to all left docs
        for i, doc in enumerate(left):
            hs_ofR = compute_hsofR(doc, s, query)
            doc_r = doc_it(doc)
            f_measure = np.dot(wr, doc_r) + np.dot(wd, hs_ofR)
            f_measures.append([i, f_measure])

        # rank by highest f_measure
        f_measures.sort(key=operator.itemgetter(1), reverse=True)
        ind, gain = f_measures[0]
        #print ind, gain, str(left[ind]["id"])

        return ind, gain
Exemplo n.º 2
0
def argMax_XleftOvers(left, s, wd, wr, query):
    """grid search over ranked list to find most
       diverse and relevant doc at a time"""

    if len(s) == 0:
        return 0, 10.0  # choose the first one
    else:
        f_measures = []
        # compute f_measure to all left docs
        for i, doc in enumerate(left):
            hs_ofR = compute_hsofR(doc, s, query)
            doc_r = doc_it(doc)
            f_measure = np.dot(wr, doc_r) + np.dot(wd, hs_ofR)
            f_measures.append([i, f_measure])

        # rank by highest f_measure
        f_measures.sort(key=operator.itemgetter(1), reverse=True)
        ind, gain = f_measures[0]
        #print ind, gain, str(left[ind]["id"])

        return ind, gain
Exemplo n.º 3
0
def argMax_XleftOvers(left, s, wd, wr, query):
    """grid search over ranked list to find most
       diverse and relevant doc at a time"""

    if len(s) == 0:
        return 0, 10.0 # choose the first one
    else:
        f_measures = []
        # compute f_measure to all left docs
        for i, doc in enumerate(left):
            doc = {u'nbComments': u'0', u'cn': [u'0.11766567164179105', u'0.0022447761194029849', u'0.062770149253731339', u'0.1366686567164179', u'0.056316417910447759', u'1.7910447761194031e-05', u'0.012674626865671642', u'0.00020298507462686568', u'0.00011940298507462687', u'0.60114029850746264', u'0.010179104477611941'], u'date_taken': u'2005-01-31T14:49:41Z', u'faceProportion': u'0.029029029029029', u'rank': u'143', u'poi': u'agra fort', u'id': u'50729250', u'tagSpecificity': u'0.581247562023133', u'title': u'Agra Fort', u'tags': 'travel india agra unesco worldheritage uttarpradesh', u'location': u'0,0', u'meanImageTagClarity': u'26.8629387557', u'username': u'Hyougushi', u'description': u'\u3059\u3079\u3066\u5927\u7406\u77f3\u3002 (20050129 Agra, Uttar Pradesh, INDIA) * UNESCO World Heritage * Agra Fort (1983) \u4e16\u754c\u907a\u7523\u300c\u30a2\u30fc\u30b0\u30e9\u57ce\u585e\u300d', u'views': u'0', u'locationSimilarity': u'0', u'meanTagRank': u'8062.62546455', u'uniqueTags': u'0.012318630168325283', u'license': u'5', u'userid': u'71481771@N00', u'meanPhotoViews': u'84.8545', u'visualScore': u'0.683108042839217', u'url_b': u'http://farm1.static.flickr.com/25/50729250_5a039d278e_b.jpg'}

            hs_ofR = compute_hsofR(doc, s, query)
            doc_r = doc_it(doc)
            f_measure = np.dot(wr, doc_r) + np.dot(wd, hs_ofR)
            f_measures.append([i, f_measure])

        # rank by highest f_measure
        f_measures.sort(key=operator.itemgetter(1), reverse=True)
        ind, gain = f_measures[0]
        #print ind, gain, str(left[ind]["id"])

        return ind, gain
Exemplo n.º 4
0
def argMax_XleftOvers(left, s, wd, wr, query):
    """grid search over ranked list to find most
       diverse and relevant doc at a time"""

    if len(s) == 0:
        return 0, 10.0  # choose the first one
    else:
        f_measures = []
        # compute f_measure to all left docs
        for i, doc in enumerate(left):
            doc = {
                u'nbComments':
                u'0',
                u'cn': [
                    u'0.11766567164179105', u'0.0022447761194029849',
                    u'0.062770149253731339', u'0.1366686567164179',
                    u'0.056316417910447759', u'1.7910447761194031e-05',
                    u'0.012674626865671642', u'0.00020298507462686568',
                    u'0.00011940298507462687', u'0.60114029850746264',
                    u'0.010179104477611941'
                ],
                u'date_taken':
                u'2005-01-31T14:49:41Z',
                u'faceProportion':
                u'0.029029029029029',
                u'rank':
                u'143',
                u'poi':
                u'agra fort',
                u'id':
                u'50729250',
                u'tagSpecificity':
                u'0.581247562023133',
                u'title':
                u'Agra Fort',
                u'tags':
                'travel india agra unesco worldheritage uttarpradesh',
                u'location':
                u'0,0',
                u'meanImageTagClarity':
                u'26.8629387557',
                u'username':
                u'Hyougushi',
                u'description':
                u'\u3059\u3079\u3066\u5927\u7406\u77f3\u3002 (20050129 Agra, Uttar Pradesh, INDIA) * UNESCO World Heritage * Agra Fort (1983) \u4e16\u754c\u907a\u7523\u300c\u30a2\u30fc\u30b0\u30e9\u57ce\u585e\u300d',
                u'views':
                u'0',
                u'locationSimilarity':
                u'0',
                u'meanTagRank':
                u'8062.62546455',
                u'uniqueTags':
                u'0.012318630168325283',
                u'license':
                u'5',
                u'userid':
                u'71481771@N00',
                u'meanPhotoViews':
                u'84.8545',
                u'visualScore':
                u'0.683108042839217',
                u'url_b':
                u'http://farm1.static.flickr.com/25/50729250_5a039d278e_b.jpg'
            }

            hs_ofR = compute_hsofR(doc, s, query)
            doc_r = doc_it(doc)
            f_measure = np.dot(wr, doc_r) + np.dot(wd, hs_ofR)
            f_measures.append([i, f_measure])

        # rank by highest f_measure
        f_measures.sort(key=operator.itemgetter(1), reverse=True)
        ind, gain = f_measures[0]
        #print ind, gain, str(left[ind]["id"])

        return ind, gain
Exemplo n.º 5
0
        wd_q = np.zeros(3)
        wr_q = np.zeros(wr_len)  # TBD how to represent
        doc_set = X[query]  # given a ordered doc set
        s = []

        for i, doc in enumerate(doc_set):

            if not s:  # if s is empty of docs
                s.append(doc)
                continue

            else:
                # compute wd_q for one
                hs_ofR = compute_hsofR(doc, s, query)
                # compute wr_q for one
                doc_r = doc_it(doc)
                # compute wd_q for rest
                wd_rest = compute_wd(doc_set[i:], s, query, wd_q, wr_q)
                # compute wr_q for rest
                wr_rest = compute_wr(doc_set[i:], s, query, wd_q, wr_q)
                # compute denominator
                denom = compute_denom(doc_set[i:], s, query, wd_q, wr_q)

            # subtract wd_q
            wd_q += wd_rest / denom - hs_ofR
            # subtract wr_q
            wr_q += wr_rest / denom - doc_r
            # update w's

            s.append(doc)
        print query