Document (#40752)

Author

Greenstein-Messica, A.
Rokach, L.
Shabtai, A.

Title

Personal-discount sensitivity prediction for mobile coupon conversion optimization

Source

Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1940-1952

Year

2017

Abstract

The high adoption of smart mobile devices among consumers provides an opportunity for e-commerce retailers to increase their sales by recommending consumers with real time, personalized coupons that take into account the specific contextual situation of the consumer. Although context-aware recommender systems (CARS) have been widely analyzed, personalized pricing or discount optimization in recommender systems to improve recommendations' accuracy and commercial KPIs has hardly been researched. This article studies how to model user-item personalized discount sensitivity and incorporate it into a real time contextual recommender system in such a way that it can be integrated into a commercial service. We propose a novel approach for modeling context-aware user-item personalized discount sensitivity in a sparse data scenario and present a new CARS algorithm that combines coclustering and random forest classification (CBRF) to incorporate the personalized discount sensitivity. We conducted an experimental study with real consumers and mobile discount coupons to evaluate our solution. We compared the CBRF algorithm to the widely used context-aware matrix factorization (CAMF) algorithm. The experimental results suggest that incorporating personalized discount sensitivity significantly improves the consumption prediction accuracy and that the suggested CBRF algorithm provides better prediction results for this use case.

Content

Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23838/full.

Similar documents (author)

1. Rokach, L.; Mitra, P.: Parsimonious citer-based measures : the artificial intelligence domain as a case study (2013) 4.81

   4.808723 = sum of:
     4.808723 = weight(author_txt:rokach in 212) [ClassicSimilarity], result of:
       4.808723 = fieldWeight in 212, product of:
         1.0 = tf(freq=1.0), with freq of:
           1.0 = termFreq=1.0
         9.617446 = idf(docFreq=7, maxDocs=44218)
         0.5 = fieldNorm(doc=212)
   

2. Ofek, N.; Rokach, L.: ¬A classifier to determine which Wikipedia biographies will be accepted (2015) 4.81

   4.808723 = sum of:
     4.808723 = weight(author_txt:rokach in 1610) [ClassicSimilarity], result of:
       4.808723 = fieldWeight in 1610, product of:
         1.0 = tf(freq=1.0), with freq of:
           1.0 = termFreq=1.0
         9.617446 = idf(docFreq=7, maxDocs=44218)
         0.5 = fieldNorm(doc=1610)
   

3. Blank, I.; Rokach, L.; Shani, G.: Leveraging metadata to recommend keywords for academic papers (2016) 3.61

   3.606542 = sum of:
     3.606542 = weight(author_txt:rokach in 3232) [ClassicSimilarity], result of:
       3.606542 = fieldWeight in 3232, product of:
         1.0 = tf(freq=1.0), with freq of:
           1.0 = termFreq=1.0
         9.617446 = idf(docFreq=7, maxDocs=44218)
         0.375 = fieldNorm(doc=3232)
   

4. Greenstein-Messica, A.; Rokach, L.; Shabtai, A.: Personal-discount sensitivity prediction for mobile coupon conversion optimization (2017) 3.61

   3.606542 = sum of:
     3.606542 = weight(author_txt:rokach in 3761) [ClassicSimilarity], result of:
       3.606542 = fieldWeight in 3761, product of:
         1.0 = tf(freq=1.0), with freq of:
           1.0 = termFreq=1.0
         9.617446 = idf(docFreq=7, maxDocs=44218)
         0.375 = fieldNorm(doc=3761)
   

5. Rokach, L.; Kalech, M.; Blank, I.; Stern, R.: Who is going to win the next Association for the Advancement of Artificial Intelligence Fellowship Award? : evaluating researchers by mining bibliographic data (2011) 3.01

   3.005452 = sum of:
     3.005452 = weight(author_txt:rokach in 4945) [ClassicSimilarity], result of:
       3.005452 = fieldWeight in 4945, product of:
         1.0 = tf(freq=1.0), with freq of:
           1.0 = termFreq=1.0
         9.617446 = idf(docFreq=7, maxDocs=44218)
         0.3125 = fieldNorm(doc=4945)
   

Similar documents (content)

1. Greenstein-Messica, A.; Rokach, L.; Shabtai, A.: Personal-discount sensitivity prediction for mobile coupon conversion optimization (2017) 3.10

   3.0956755 = sum of:
     3.0956755 = sum of:
       0.054556616 = weight(abstract_txt:sparse in 3761) [ClassicSimilarity], result of:
         0.054556616 = score(doc=3761,freq=1.0), product of:
           0.10296116 = queryWeight, product of:
             8.478011 = idf(docFreq=24, maxDocs=44218)
             0.012144495 = queryNorm
           0.5298757 = fieldWeight in 3761, product of:
             1.0 = tf(freq=1.0), with freq of:
               1.0 = termFreq=1.0
             8.478011 = idf(docFreq=24, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.05897883 = weight(abstract_txt:forest in 3761) [ClassicSimilarity], result of:
         0.05897883 = score(doc=3761,freq=1.0), product of:
           0.10845242 = queryWeight, product of:
             1.0263202 = boost
             8.701155 = idf(docFreq=19, maxDocs=44218)
             0.012144495 = queryNorm
           0.54382217 = fieldWeight in 3761, product of:
             1.0 = tf(freq=1.0), with freq of:
               1.0 = termFreq=1.0
             8.701155 = idf(docFreq=19, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.07199016 = weight(abstract_txt:factorization in 3761) [ClassicSimilarity], result of:
         0.07199016 = score(doc=3761,freq=1.0), product of:
           0.12386746 = queryWeight, product of:
             1.0968366 = boost
             9.298992 = idf(docFreq=10, maxDocs=44218)
             0.012144495 = queryNorm
           0.581187 = fieldWeight in 3761, product of:
             1.0 = tf(freq=1.0), with freq of:
               1.0 = termFreq=1.0
             9.298992 = idf(docFreq=10, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.07675205 = weight(abstract_txt:retailers in 3761) [ClassicSimilarity], result of:
         0.07675205 = score(doc=3761,freq=1.0), product of:
           0.12927121 = queryWeight, product of:
             1.120506 = boost
             9.499662 = idf(docFreq=8, maxDocs=44218)
             0.012144495 = queryNorm
           0.5937289 = fieldWeight in 3761, product of:
             1.0 = tf(freq=1.0), with freq of:
               1.0 = termFreq=1.0
             9.499662 = idf(docFreq=8, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.039828513 = weight(abstract_txt:experimental in 3761) [ClassicSimilarity], result of:
         0.039828513 = score(doc=3761,freq=2.0), product of:
           0.08347784 = queryWeight, product of:
             1.2733972 = boost
             5.397938 = idf(docFreq=543, maxDocs=44218)
             0.012144495 = queryNorm
           0.4771148 = fieldWeight in 3761, product of:
             1.4142135 = tf(freq=2.0), with freq of:
               2.0 = termFreq=2.0
             5.397938 = idf(docFreq=543, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.02362021 = weight(abstract_txt:into in 3761) [ClassicSimilarity], result of:
         0.02362021 = score(doc=3761,freq=3.0), product of:
           0.05892474 = queryWeight, product of:
             1.3103061 = boost
             3.7029297 = idf(docFreq=2962, maxDocs=44218)
             0.012144495 = queryNorm
           0.4008539 = fieldWeight in 3761, product of:
             1.7320508 = tf(freq=3.0), with freq of:
               3.0 = termFreq=3.0
             3.7029297 = idf(docFreq=2962, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.044657856 = weight(abstract_txt:widely in 3761) [ClassicSimilarity], result of:
         0.044657856 = score(doc=3761,freq=2.0), product of:
           0.090096325 = queryWeight, product of:
             1.3229146 = boost
             5.6078424 = idf(docFreq=440, maxDocs=44218)
             0.012144495 = queryNorm
           0.4956679 = fieldWeight in 3761, product of:
             1.4142135 = tf(freq=2.0), with freq of:
               2.0 = termFreq=2.0
             5.6078424 = idf(docFreq=440, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.048779357 = weight(abstract_txt:commercial in 3761) [ClassicSimilarity], result of:
         0.048779357 = score(doc=3761,freq=2.0), product of:
           0.09555774 = queryWeight, product of:
             1.3624207 = boost
             5.7753086 = idf(docFreq=372, maxDocs=44218)
             0.012144495 = queryNorm
           0.51047 = fieldWeight in 3761, product of:
             1.4142135 = tf(freq=2.0), with freq of:
               2.0 = termFreq=2.0
             5.7753086 = idf(docFreq=372, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.013316098 = weight(abstract_txt:that in 3761) [ClassicSimilarity], result of:
         0.013316098 = score(doc=3761,freq=5.0), product of:
           0.04021238 = queryWeight, product of:
             1.397424 = boost
             2.3694751 = idf(docFreq=11241, maxDocs=44218)
             0.012144495 = queryNorm
           0.3311442 = fieldWeight in 3761, product of:
             2.236068 = tf(freq=5.0), with freq of:
               5.0 = termFreq=5.0
             2.3694751 = idf(docFreq=11241, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.053881794 = weight(abstract_txt:accuracy in 3761) [ClassicSimilarity], result of:
         0.053881794 = score(doc=3761,freq=2.0), product of:
           0.10211037 = queryWeight, product of:
             1.4083585 = boost
             5.9700394 = idf(docFreq=306, maxDocs=44218)
             0.012144495 = queryNorm
           0.5276819 = fieldWeight in 3761, product of:
             1.4142135 = tf(freq=2.0), with freq of:
               2.0 = termFreq=2.0
             5.9700394 = idf(docFreq=306, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.06557246 = weight(abstract_txt:contextual in 3761) [ClassicSimilarity], result of:
         0.06557246 = score(doc=3761,freq=2.0), product of:
           0.11639192 = queryWeight, product of:
             1.5036255 = boost
             6.373877 = idf(docFreq=204, maxDocs=44218)
             0.012144495 = queryNorm
           0.5633764 = fieldWeight in 3761, product of:
             1.4142135 = tf(freq=2.0), with freq of:
               2.0 = termFreq=2.0
             6.373877 = idf(docFreq=204, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.066337526 = weight(abstract_txt:item in 3761) [ClassicSimilarity], result of:
         0.066337526 = score(doc=3761,freq=2.0), product of:
           0.11729549 = queryWeight, product of:
             1.5094507 = boost
             6.39857 = idf(docFreq=199, maxDocs=44218)
             0.012144495 = queryNorm
           0.565559 = fieldWeight in 3761, product of:
             1.4142135 = tf(freq=2.0), with freq of:
               2.0 = termFreq=2.0
             6.39857 = idf(docFreq=199, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.038028333 = weight(abstract_txt:context in 3761) [ClassicSimilarity], result of:
         0.038028333 = score(doc=3761,freq=3.0), product of:
           0.08094313 = queryWeight, product of:
             1.5357265 = boost
             4.339969 = idf(docFreq=1566, maxDocs=44218)
             0.012144495 = queryNorm
           0.46981543 = fieldWeight in 3761, product of:
             1.7320508 = tf(freq=3.0), with freq of:
               3.0 = termFreq=3.0
             4.339969 = idf(docFreq=1566, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.080387115 = weight(abstract_txt:incorporate in 3761) [ClassicSimilarity], result of:
         0.080387115 = score(doc=3761,freq=2.0), product of:
           0.13332127 = queryWeight, product of:
             1.6092666 = boost
             6.82169 = idf(docFreq=130, maxDocs=44218)
             0.012144495 = queryNorm
           0.6029579 = fieldWeight in 3761, product of:
             1.4142135 = tf(freq=2.0), with freq of:
               2.0 = termFreq=2.0
             6.82169 = idf(docFreq=130, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.08513839 = weight(abstract_txt:optimization in 3761) [ClassicSimilarity], result of:
         0.08513839 = score(doc=3761,freq=1.0), product of:
           0.17452946 = queryWeight, product of:
             1.8412496 = boost
             7.805067 = idf(docFreq=48, maxDocs=44218)
             0.012144495 = queryNorm
           0.4878167 = fieldWeight in 3761, product of:
             1.0 = tf(freq=1.0), with freq of:
               1.0 = termFreq=1.0
             7.805067 = idf(docFreq=48, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.06958571 = weight(abstract_txt:real in 3761) [ClassicSimilarity], result of:
         0.06958571 = score(doc=3761,freq=3.0), product of:
           0.12109379 = queryWeight, product of:
             1.878386 = boost
             5.308326 = idf(docFreq=594, maxDocs=44218)
             0.012144495 = queryNorm
           0.57464314 = fieldWeight in 3761, product of:
             1.7320508 = tf(freq=3.0), with freq of:
               3.0 = termFreq=3.0
             5.308326 = idf(docFreq=594, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.23477669 = weight(abstract_txt:cars in 3761) [ClassicSimilarity], result of:
         0.23477669 = score(doc=3761,freq=2.0), product of:
           0.27240294 = queryWeight, product of:
             2.3002985 = boost
             9.7509775 = idf(docFreq=6, maxDocs=44218)
             0.012144495 = queryNorm
           0.8618728 = fieldWeight in 3761, product of:
             1.4142135 = tf(freq=2.0), with freq of:
               2.0 = termFreq=2.0
             9.7509775 = idf(docFreq=6, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.13782597 = weight(abstract_txt:aware in 3761) [ClassicSimilarity], result of:
         0.13782597 = score(doc=3761,freq=3.0), product of:
           0.1909835 = queryWeight, product of:
             2.3589668 = boost
             6.666449 = idf(docFreq=152, maxDocs=44218)
             0.012144495 = queryNorm
           0.72166425 = fieldWeight in 3761, product of:
             1.7320508 = tf(freq=3.0), with freq of:
               3.0 = termFreq=3.0
             6.666449 = idf(docFreq=152, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.13059498 = weight(abstract_txt:mobile in 3761) [ClassicSimilarity], result of:
         0.13059498 = score(doc=3761,freq=2.0), product of:
           0.21090648 = queryWeight, product of:
             2.4789562 = boost
             7.0055394 = idf(docFreq=108, maxDocs=44218)
             0.012144495 = queryNorm
           0.61920804 = fieldWeight in 3761, product of:
             1.4142135 = tf(freq=2.0), with freq of:
               2.0 = termFreq=2.0
             7.0055394 = idf(docFreq=108, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.14095107 = weight(abstract_txt:prediction in 3761) [ClassicSimilarity], result of:
         0.14095107 = score(doc=3761,freq=2.0), product of:
           0.22191389 = queryWeight, product of:
             2.542823 = boost
             7.1860275 = idf(docFreq=90, maxDocs=44218)
             0.012144495 = queryNorm
           0.6351611 = fieldWeight in 3761, product of:
             1.4142135 = tf(freq=2.0), with freq of:
               2.0 = termFreq=2.0
             7.1860275 = idf(docFreq=90, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.17846216 = weight(abstract_txt:consumers in 3761) [ClassicSimilarity], result of:
         0.17846216 = score(doc=3761,freq=3.0), product of:
           0.22688507 = queryWeight, product of:
             2.5711467 = boost
             7.2660704 = idf(docFreq=83, maxDocs=44218)
             0.012144495 = queryNorm
           0.7865752 = fieldWeight in 3761, product of:
             1.7320508 = tf(freq=3.0), with freq of:
               3.0 = termFreq=3.0
             7.2660704 = idf(docFreq=83, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.13302064 = weight(abstract_txt:algorithm in 3761) [ClassicSimilarity], result of:
         0.13302064 = score(doc=3761,freq=4.0), product of:
           0.18651818 = queryWeight, product of:
             2.6918685 = boost
             5.705423 = idf(docFreq=399, maxDocs=44218)
             0.012144495 = queryNorm
           0.71317786 = fieldWeight in 3761, product of:
             2.0 = tf(freq=4.0), with freq of:
               4.0 = termFreq=4.0
             5.705423 = idf(docFreq=399, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.25653654 = weight(abstract_txt:recommender in 3761) [ClassicSimilarity], result of:
         0.25653654 = score(doc=3761,freq=3.0), product of:
           0.28898457 = queryWeight, product of:
             2.9017582 = boost
             8.200379 = idf(docFreq=32, maxDocs=44218)
             0.012144495 = queryNorm
           0.88771707 = fieldWeight in 3761, product of:
             1.7320508 = tf(freq=3.0), with freq of:
               3.0 = termFreq=3.0
             8.200379 = idf(docFreq=32, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.4992836 = weight(abstract_txt:sensitivity in 3761) [ClassicSimilarity], result of:
         0.4992836 = score(doc=3761,freq=4.0), product of:
           0.48526245 = queryWeight, product of:
             4.854412 = boost
             8.231152 = idf(docFreq=31, maxDocs=44218)
             0.012144495 = queryNorm
           1.028894 = fieldWeight in 3761, product of:
             2.0 = tf(freq=4.0), with freq of:
               4.0 = termFreq=4.0
             8.231152 = idf(docFreq=31, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
       0.49281287 = weight(abstract_txt:personalized in 3761) [ClassicSimilarity], result of:
         0.49281287 = score(doc=3761,freq=6.0), product of:
           0.44657713 = queryWeight, product of:
             5.1013737 = boost
             7.208251 = idf(docFreq=88, maxDocs=44218)
             0.012144495 = queryNorm
           1.1035336 = fieldWeight in 3761, product of:
             2.4494898 = tf(freq=6.0), with freq of:
               6.0 = termFreq=6.0
             7.208251 = idf(docFreq=88, maxDocs=44218)
             0.0625 = fieldNorm(doc=3761)
   

2. Zhu, J.; Han, L.; Gou, Z.; Yuan, X.: ¬A fuzzy clustering-based denoising model for evaluating uncertainty in collaborative filtering recommender systems (2018) 0.21

   0.2133429 = sum of:
     0.2133429 = product of:
       0.6666966 = sum of:
         0.028163012 = weight(abstract_txt:experimental in 4460) [ClassicSimilarity], result of:
           0.028163012 = score(doc=4460,freq=1.0), product of:
             0.08347784 = queryWeight, product of:
               1.2733972 = boost
               5.397938 = idf(docFreq=543, maxDocs=44218)
               0.012144495 = queryNorm
             0.3373711 = fieldWeight in 4460, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.397938 = idf(docFreq=543, maxDocs=44218)
               0.0625 = fieldNorm(doc=4460)
         0.008421839 = weight(abstract_txt:that in 4460) [ClassicSimilarity], result of:
           0.008421839 = score(doc=4460,freq=2.0), product of:
             0.04021238 = queryWeight, product of:
               1.397424 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.012144495 = queryNorm
             0.20943399 = fieldWeight in 4460, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.0625 = fieldNorm(doc=4460)
         0.04690771 = weight(abstract_txt:item in 4460) [ClassicSimilarity], result of:
           0.04690771 = score(doc=4460,freq=1.0), product of:
             0.11729549 = queryWeight, product of:
               1.5094507 = boost
               6.39857 = idf(docFreq=199, maxDocs=44218)
               0.012144495 = queryNorm
             0.39991063 = fieldWeight in 4460, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.39857 = idf(docFreq=199, maxDocs=44218)
               0.0625 = fieldNorm(doc=4460)
         0.04017533 = weight(abstract_txt:real in 4460) [ClassicSimilarity], result of:
           0.04017533 = score(doc=4460,freq=1.0), product of:
             0.12109379 = queryWeight, product of:
               1.878386 = boost
               5.308326 = idf(docFreq=594, maxDocs=44218)
               0.012144495 = queryNorm
             0.33177036 = fieldWeight in 4460, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.308326 = idf(docFreq=594, maxDocs=44218)
               0.0625 = fieldNorm(doc=4460)
         0.09966746 = weight(abstract_txt:prediction in 4460) [ClassicSimilarity], result of:
           0.09966746 = score(doc=4460,freq=1.0), product of:
             0.22191389 = queryWeight, product of:
               2.542823 = boost
               7.1860275 = idf(docFreq=90, maxDocs=44218)
               0.012144495 = queryNorm
             0.44912672 = fieldWeight in 4460, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.1860275 = idf(docFreq=90, maxDocs=44218)
               0.0625 = fieldNorm(doc=4460)
         0.094059795 = weight(abstract_txt:algorithm in 4460) [ClassicSimilarity], result of:
           0.094059795 = score(doc=4460,freq=2.0), product of:
             0.18651818 = queryWeight, product of:
               2.6918685 = boost
               5.705423 = idf(docFreq=399, maxDocs=44218)
               0.012144495 = queryNorm
             0.5042929 = fieldWeight in 4460, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.705423 = idf(docFreq=399, maxDocs=44218)
               0.0625 = fieldNorm(doc=4460)
         0.14811145 = weight(abstract_txt:recommender in 4460) [ClassicSimilarity], result of:
           0.14811145 = score(doc=4460,freq=1.0), product of:
             0.28898457 = queryWeight, product of:
               2.9017582 = boost
               8.200379 = idf(docFreq=32, maxDocs=44218)
               0.012144495 = queryNorm
             0.5125237 = fieldWeight in 4460, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               8.200379 = idf(docFreq=32, maxDocs=44218)
               0.0625 = fieldNorm(doc=4460)
         0.20119001 = weight(abstract_txt:personalized in 4460) [ClassicSimilarity], result of:
           0.20119001 = score(doc=4460,freq=1.0), product of:
             0.44657713 = queryWeight, product of:
               5.1013737 = boost
               7.208251 = idf(docFreq=88, maxDocs=44218)
               0.012144495 = queryNorm
             0.4505157 = fieldWeight in 4460, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.208251 = idf(docFreq=88, maxDocs=44218)
               0.0625 = fieldNorm(doc=4460)
       0.32 = coord(8/25)
   

3. Xiao, D.; Ji, Y.; Li, Y.; Zhuang, F.; Shi, C.: Coupled matrix factorization and topic modeling for aspect mining (2018) 0.15

   0.14992326 = sum of:
     0.14992326 = product of:
       0.6246803 = sum of:
         0.14398032 = weight(abstract_txt:factorization in 5042) [ClassicSimilarity], result of:
           0.14398032 = score(doc=5042,freq=4.0), product of:
             0.12386746 = queryWeight, product of:
               1.0968366 = boost
               9.298992 = idf(docFreq=10, maxDocs=44218)
               0.012144495 = queryNorm
             1.162374 = fieldWeight in 5042, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               9.298992 = idf(docFreq=10, maxDocs=44218)
               0.0625 = fieldNorm(doc=5042)
         0.031577874 = weight(abstract_txt:widely in 5042) [ClassicSimilarity], result of:
           0.031577874 = score(doc=5042,freq=1.0), product of:
             0.090096325 = queryWeight, product of:
               1.3229146 = boost
               5.6078424 = idf(docFreq=440, maxDocs=44218)
               0.012144495 = queryNorm
             0.35049015 = fieldWeight in 5042, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.6078424 = idf(docFreq=440, maxDocs=44218)
               0.0625 = fieldNorm(doc=5042)
         0.008421839 = weight(abstract_txt:that in 5042) [ClassicSimilarity], result of:
           0.008421839 = score(doc=5042,freq=2.0), product of:
             0.04021238 = queryWeight, product of:
               1.397424 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.012144495 = queryNorm
             0.20943399 = fieldWeight in 5042, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.0625 = fieldNorm(doc=5042)
         0.04017533 = weight(abstract_txt:real in 5042) [ClassicSimilarity], result of:
           0.04017533 = score(doc=5042,freq=1.0), product of:
             0.12109379 = queryWeight, product of:
               1.878386 = boost
               5.308326 = idf(docFreq=594, maxDocs=44218)
               0.012144495 = queryNorm
             0.33177036 = fieldWeight in 5042, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.308326 = idf(docFreq=594, maxDocs=44218)
               0.0625 = fieldNorm(doc=5042)
         0.19933492 = weight(abstract_txt:prediction in 5042) [ClassicSimilarity], result of:
           0.19933492 = score(doc=5042,freq=4.0), product of:
             0.22191389 = queryWeight, product of:
               2.542823 = boost
               7.1860275 = idf(docFreq=90, maxDocs=44218)
               0.012144495 = queryNorm
             0.89825344 = fieldWeight in 5042, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               7.1860275 = idf(docFreq=90, maxDocs=44218)
               0.0625 = fieldNorm(doc=5042)
         0.20119001 = weight(abstract_txt:personalized in 5042) [ClassicSimilarity], result of:
           0.20119001 = score(doc=5042,freq=1.0), product of:
             0.44657713 = queryWeight, product of:
               5.1013737 = boost
               7.208251 = idf(docFreq=88, maxDocs=44218)
               0.012144495 = queryNorm
             0.4505157 = fieldWeight in 5042, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.208251 = idf(docFreq=88, maxDocs=44218)
               0.0625 = fieldNorm(doc=5042)
       0.24 = coord(6/25)
   

4. Ackerman, B.; Wang, C.; Chen, Y.: ¬A session-specific opportunity cost model for rank-oriented recommendation (2018) 0.14

   0.1369012 = sum of:
     0.1369012 = product of:
       0.5704217 = sum of:
         0.035203766 = weight(abstract_txt:experimental in 4468) [ClassicSimilarity], result of:
           0.035203766 = score(doc=4468,freq=1.0), product of:
             0.08347784 = queryWeight, product of:
               1.2733972 = boost
               5.397938 = idf(docFreq=543, maxDocs=44218)
               0.012144495 = queryNorm
             0.4217139 = fieldWeight in 4468, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.397938 = idf(docFreq=543, maxDocs=44218)
               0.078125 = fieldNorm(doc=4468)
         0.010527299 = weight(abstract_txt:that in 4468) [ClassicSimilarity], result of:
           0.010527299 = score(doc=4468,freq=2.0), product of:
             0.04021238 = queryWeight, product of:
               1.397424 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.012144495 = queryNorm
             0.26179248 = fieldWeight in 4468, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.078125 = fieldNorm(doc=4468)
         0.038812507 = weight(abstract_txt:context in 4468) [ClassicSimilarity], result of:
           0.038812507 = score(doc=4468,freq=2.0), product of:
             0.08094313 = queryWeight, product of:
               1.5357265 = boost
               4.339969 = idf(docFreq=1566, maxDocs=44218)
               0.012144495 = queryNorm
             0.4795034 = fieldWeight in 4468, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               4.339969 = idf(docFreq=1566, maxDocs=44218)
               0.078125 = fieldNorm(doc=4468)
         0.09946733 = weight(abstract_txt:aware in 4468) [ClassicSimilarity], result of:
           0.09946733 = score(doc=4468,freq=1.0), product of:
             0.1909835 = queryWeight, product of:
               2.3589668 = boost
               6.666449 = idf(docFreq=152, maxDocs=44218)
               0.012144495 = queryNorm
             0.5208163 = fieldWeight in 4468, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.666449 = idf(docFreq=152, maxDocs=44218)
               0.078125 = fieldNorm(doc=4468)
         0.124584325 = weight(abstract_txt:prediction in 4468) [ClassicSimilarity], result of:
           0.124584325 = score(doc=4468,freq=1.0), product of:
             0.22191389 = queryWeight, product of:
               2.542823 = boost
               7.1860275 = idf(docFreq=90, maxDocs=44218)
               0.012144495 = queryNorm
             0.5614084 = fieldWeight in 4468, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.1860275 = idf(docFreq=90, maxDocs=44218)
               0.078125 = fieldNorm(doc=4468)
         0.26182652 = weight(abstract_txt:recommender in 4468) [ClassicSimilarity], result of:
           0.26182652 = score(doc=4468,freq=2.0), product of:
             0.28898457 = queryWeight, product of:
               2.9017582 = boost
               8.200379 = idf(docFreq=32, maxDocs=44218)
               0.012144495 = queryNorm
             0.9060225 = fieldWeight in 4468, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               8.200379 = idf(docFreq=32, maxDocs=44218)
               0.078125 = fieldNorm(doc=4468)
       0.24 = coord(6/25)
   

5. Liu, J.; Zhou, Z.; Gao, M.; Tang, J.; Fan, W.: Aspect sentiment mining of short bullet screen comments from online TV series (2023) 0.13

   0.13410467 = sum of:
     0.13410467 = product of:
       0.4190771 = sum of:
         0.00595514 = weight(abstract_txt:that in 1018) [ClassicSimilarity], result of:
           0.00595514 = score(doc=1018,freq=1.0), product of:
             0.04021238 = queryWeight, product of:
               1.397424 = boost
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.012144495 = queryNorm
             0.1480922 = fieldWeight in 1018, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.3694751 = idf(docFreq=11241, maxDocs=44218)
               0.0625 = fieldNorm(doc=1018)
         0.053881794 = weight(abstract_txt:accuracy in 1018) [ClassicSimilarity], result of:
           0.053881794 = score(doc=1018,freq=2.0), product of:
             0.10211037 = queryWeight, product of:
               1.4083585 = boost
               5.9700394 = idf(docFreq=306, maxDocs=44218)
               0.012144495 = queryNorm
             0.5276819 = fieldWeight in 1018, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.9700394 = idf(docFreq=306, maxDocs=44218)
               0.0625 = fieldNorm(doc=1018)
         0.046366736 = weight(abstract_txt:contextual in 1018) [ClassicSimilarity], result of:
           0.046366736 = score(doc=1018,freq=1.0), product of:
             0.11639192 = queryWeight, product of:
               1.5036255 = boost
               6.373877 = idf(docFreq=204, maxDocs=44218)
               0.012144495 = queryNorm
             0.39836732 = fieldWeight in 1018, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.373877 = idf(docFreq=204, maxDocs=44218)
               0.0625 = fieldNorm(doc=1018)
         0.031050004 = weight(abstract_txt:context in 1018) [ClassicSimilarity], result of:
           0.031050004 = score(doc=1018,freq=2.0), product of:
             0.08094313 = queryWeight, product of:
               1.5357265 = boost
               4.339969 = idf(docFreq=1566, maxDocs=44218)
               0.012144495 = queryNorm
             0.3836027 = fieldWeight in 1018, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               4.339969 = idf(docFreq=1566, maxDocs=44218)
               0.0625 = fieldNorm(doc=1018)
         0.056842275 = weight(abstract_txt:incorporate in 1018) [ClassicSimilarity], result of:
           0.056842275 = score(doc=1018,freq=1.0), product of:
             0.13332127 = queryWeight, product of:
               1.6092666 = boost
               6.82169 = idf(docFreq=130, maxDocs=44218)
               0.012144495 = queryNorm
             0.42635563 = fieldWeight in 1018, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.82169 = idf(docFreq=130, maxDocs=44218)
               0.0625 = fieldNorm(doc=1018)
         0.08513839 = weight(abstract_txt:optimization in 1018) [ClassicSimilarity], result of:
           0.08513839 = score(doc=1018,freq=1.0), product of:
             0.17452946 = queryWeight, product of:
               1.8412496 = boost
               7.805067 = idf(docFreq=48, maxDocs=44218)
               0.012144495 = queryNorm
             0.4878167 = fieldWeight in 1018, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.805067 = idf(docFreq=48, maxDocs=44218)
               0.0625 = fieldNorm(doc=1018)
         0.04017533 = weight(abstract_txt:real in 1018) [ClassicSimilarity], result of:
           0.04017533 = score(doc=1018,freq=1.0), product of:
             0.12109379 = queryWeight, product of:
               1.878386 = boost
               5.308326 = idf(docFreq=594, maxDocs=44218)
               0.012144495 = queryNorm
             0.33177036 = fieldWeight in 1018, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.308326 = idf(docFreq=594, maxDocs=44218)
               0.0625 = fieldNorm(doc=1018)
         0.09966746 = weight(abstract_txt:prediction in 1018) [ClassicSimilarity], result of:
           0.09966746 = score(doc=1018,freq=1.0), product of:
             0.22191389 = queryWeight, product of:
               2.542823 = boost
               7.1860275 = idf(docFreq=90, maxDocs=44218)
               0.012144495 = queryNorm
             0.44912672 = fieldWeight in 1018, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.1860275 = idf(docFreq=90, maxDocs=44218)
               0.0625 = fieldNorm(doc=1018)
       0.32 = coord(8/25)