Document (#36484)

Author

Li, H.
Bhowmick, S.S.
Sun, A.

Title

AffRank: affinity-driven ranking of products in online social rating networks

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1345-1359

Year

2011

Abstract

Large online social rating networks (e.g., Epinions, Blippr) have recently come into being containing information related to various types of products. Typically, each product in these networks is associated with a group of members who have provided ratings and comments on it. These people form a product community. A potential member can join a product community by giving a new rating to the product. We refer to this phenomenon of a product community's ability to "attract" new members as product affinity. The knowledge of a ranked list of products based on product affinity is of much importance for implementing policies, marketing research, online advertisement, and other applications. In this article, we identify and analyze an array of features that exert effect on product affinity and propose a novel model, called AffRank, that utilizes these features to predict the future rank of products according to their affinities. Evaluated on two real-world datasets, we demonstrate the effectiveness and superior prediction quality of AffRank compared with baseline methods. Our experiments show that features such as affinity rank history, affinity evolution distance, and average rating are the most important factors affecting future rank of products. At the same time, interestingly, traditional community features (e.g., community size, member connectivity, and social context) have negligible influence on product affinities.

Similar documents (content)

1. Tay, W.; Zhang, X.; Karimi , S.: Beyond mean rating : probabilistic aggregation of star ratings based on helpfulness (2020) 0.13

   0.13256222 = sum of:
     0.13256222 = product of:
       0.47343647 = sum of:
         0.0687681 = weight(abstract_txt:ratings in 5917) [ClassicSimilarity], result of:
           0.0687681 = score(doc=5917,freq=4.0), product of:
             0.07455143 = queryWeight, product of:
               7.3793993 = idf(docFreq=74, maxDocs=44218)
               0.010102643 = queryNorm
             0.9224249 = fieldWeight in 5917, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               7.3793993 = idf(docFreq=74, maxDocs=44218)
               0.0625 = fieldNorm(doc=5917)
         0.00831808 = weight(abstract_txt:these in 5917) [ClassicSimilarity], result of:
           0.00831808 = score(doc=5917,freq=1.0), product of:
             0.041745257 = queryWeight, product of:
               1.2960931 = boost
               3.1881294 = idf(docFreq=4957, maxDocs=44218)
               0.010102643 = queryNorm
             0.19925809 = fieldWeight in 5917, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.1881294 = idf(docFreq=4957, maxDocs=44218)
               0.0625 = fieldNorm(doc=5917)
         0.008447681 = weight(abstract_txt:have in 5917) [ClassicSimilarity], result of:
           0.008447681 = score(doc=5917,freq=1.0), product of:
             0.04217775 = queryWeight, product of:
               1.3027898 = boost
               3.2046018 = idf(docFreq=4876, maxDocs=44218)
               0.010102643 = queryNorm
             0.20028761 = fieldWeight in 5917, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.2046018 = idf(docFreq=4876, maxDocs=44218)
               0.0625 = fieldNorm(doc=5917)
         0.017887998 = weight(abstract_txt:online in 5917) [ClassicSimilarity], result of:
           0.017887998 = score(doc=5917,freq=2.0), product of:
             0.055202182 = queryWeight, product of:
               1.4904271 = boost
               3.6661522 = idf(docFreq=3073, maxDocs=44218)
               0.010102643 = queryNorm
             0.32404512 = fieldWeight in 5917, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               3.6661522 = idf(docFreq=3073, maxDocs=44218)
               0.0625 = fieldNorm(doc=5917)
         0.01925784 = weight(abstract_txt:social in 5917) [ClassicSimilarity], result of:
           0.01925784 = score(doc=5917,freq=1.0), product of:
             0.07305727 = queryWeight, product of:
               1.714606 = boost
               4.2175875 = idf(docFreq=1770, maxDocs=44218)
               0.010102643 = queryNorm
             0.26359922 = fieldWeight in 5917, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.2175875 = idf(docFreq=1770, maxDocs=44218)
               0.0625 = fieldNorm(doc=5917)
         0.13068087 = weight(abstract_txt:products in 5917) [ClassicSimilarity], result of:
           0.13068087 = score(doc=5917,freq=3.0), product of:
             0.21526608 = queryWeight, product of:
               3.7996604 = boost
               5.6078424 = idf(docFreq=440, maxDocs=44218)
               0.010102643 = queryNorm
             0.60706675 = fieldWeight in 5917, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               5.6078424 = idf(docFreq=440, maxDocs=44218)
               0.0625 = fieldNorm(doc=5917)
         0.22007589 = weight(abstract_txt:rating in 5917) [ClassicSimilarity], result of:
           0.22007589 = score(doc=5917,freq=2.0), product of:
             0.32379958 = queryWeight, product of:
               4.1681194 = boost
               7.689554 = idf(docFreq=54, maxDocs=44218)
               0.010102643 = queryNorm
             0.679667 = fieldWeight in 5917, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               7.689554 = idf(docFreq=54, maxDocs=44218)
               0.0625 = fieldNorm(doc=5917)
       0.28 = coord(7/25)
   

2. Huang, J.; Boh, W.F.; Goh, K.H.: Opinion convergence versus polarization : examining opinion distributions in online word-of-mouth (2019) 0.13

   0.13192879 = sum of:
     0.13192879 = product of:
       0.824555 = sum of:
         0.010559601 = weight(abstract_txt:have in 5411) [ClassicSimilarity], result of:
           0.010559601 = score(doc=5411,freq=1.0), product of:
             0.04217775 = queryWeight, product of:
               1.3027898 = boost
               3.2046018 = idf(docFreq=4876, maxDocs=44218)
               0.010102643 = queryNorm
             0.2503595 = fieldWeight in 5411, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.2046018 = idf(docFreq=4876, maxDocs=44218)
               0.078125 = fieldNorm(doc=5411)
         0.03535426 = weight(abstract_txt:online in 5411) [ClassicSimilarity], result of:
           0.03535426 = score(doc=5411,freq=5.0), product of:
             0.055202182 = queryWeight, product of:
               1.4904271 = boost
               3.6661522 = idf(docFreq=3073, maxDocs=44218)
               0.010102643 = queryNorm
             0.6404504 = fieldWeight in 5411, product of:
               2.236068 = tf(freq=5.0), with freq of:
                 5.0 = termFreq=5.0
               3.6661522 = idf(docFreq=3073, maxDocs=44218)
               0.078125 = fieldNorm(doc=5411)
         0.19452143 = weight(abstract_txt:rating in 5411) [ClassicSimilarity], result of:
           0.19452143 = score(doc=5411,freq=1.0), product of:
             0.32379958 = queryWeight, product of:
               4.1681194 = boost
               7.689554 = idf(docFreq=54, maxDocs=44218)
               0.010102643 = queryNorm
             0.6007464 = fieldWeight in 5411, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.689554 = idf(docFreq=54, maxDocs=44218)
               0.078125 = fieldNorm(doc=5411)
         0.5841197 = weight(abstract_txt:product in 5411) [ClassicSimilarity], result of:
           0.5841197 = score(doc=5411,freq=8.0), product of:
             0.4415671 = queryWeight, product of:
               7.3011556 = boost
               5.98646 = idf(docFreq=301, maxDocs=44218)
               0.010102643 = queryNorm
             1.3228333 = fieldWeight in 5411, product of:
               2.828427 = tf(freq=8.0), with freq of:
                 8.0 = termFreq=8.0
               5.98646 = idf(docFreq=301, maxDocs=44218)
               0.078125 = fieldNorm(doc=5411)
       0.16 = coord(4/25)
   

3. Coleman, A.: Assessing the value of a journal beyond the impact factor (2007) 0.11

   0.10883737 = sum of:
     0.10883737 = product of:
       0.6802336 = sum of:
         0.05955492 = weight(abstract_txt:ratings in 447) [ClassicSimilarity], result of:
           0.05955492 = score(doc=447,freq=3.0), product of:
             0.07455143 = queryWeight, product of:
               7.3793993 = idf(docFreq=74, maxDocs=44218)
               0.010102643 = queryNorm
             0.7988434 = fieldWeight in 447, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               7.3793993 = idf(docFreq=74, maxDocs=44218)
               0.0625 = fieldNorm(doc=447)
         0.013080398 = weight(abstract_txt:future in 447) [ClassicSimilarity], result of:
           0.013080398 = score(doc=447,freq=1.0), product of:
             0.049314573 = queryWeight, product of:
               1.1502033 = boost
               4.243905 = idf(docFreq=1724, maxDocs=44218)
               0.010102643 = queryNorm
             0.26524407 = fieldWeight in 447, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.243905 = idf(docFreq=1724, maxDocs=44218)
               0.0625 = fieldNorm(doc=447)
         0.06804702 = weight(abstract_txt:rank in 447) [ClassicSimilarity], result of:
           0.06804702 = score(doc=447,freq=1.0), product of:
             0.16948494 = queryWeight, product of:
               2.6115491 = boost
               6.4238877 = idf(docFreq=194, maxDocs=44218)
               0.010102643 = queryNorm
             0.40149298 = fieldWeight in 447, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.4238877 = idf(docFreq=194, maxDocs=44218)
               0.0625 = fieldNorm(doc=447)
         0.53955126 = weight(abstract_txt:affinity in 447) [ClassicSimilarity], result of:
           0.53955126 = score(doc=447,freq=2.0), product of:
             0.673928 = queryWeight, product of:
               7.3646884 = boost
               9.05783 = idf(docFreq=13, maxDocs=44218)
               0.010102643 = queryNorm
             0.8006066 = fieldWeight in 447, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               9.05783 = idf(docFreq=13, maxDocs=44218)
               0.0625 = fieldNorm(doc=447)
       0.16 = coord(4/25)
   

4. Li, Y.; Xu, S.; Luo, X.; Lin, S.: ¬A new algorithm for product image search based on salient edge characterization (2014) 0.10

   0.10428581 = sum of:
     0.10428581 = product of:
       0.6517863 = sum of:
         0.012648725 = weight(abstract_txt:online in 1552) [ClassicSimilarity], result of:
           0.012648725 = score(doc=1552,freq=1.0), product of:
             0.055202182 = queryWeight, product of:
               1.4904271 = boost
               3.6661522 = idf(docFreq=3073, maxDocs=44218)
               0.010102643 = queryNorm
             0.22913451 = fieldWeight in 1552, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.6661522 = idf(docFreq=3073, maxDocs=44218)
               0.0625 = fieldNorm(doc=1552)
         0.06804702 = weight(abstract_txt:rank in 1552) [ClassicSimilarity], result of:
           0.06804702 = score(doc=1552,freq=1.0), product of:
             0.16948494 = queryWeight, product of:
               2.6115491 = boost
               6.4238877 = idf(docFreq=194, maxDocs=44218)
               0.010102643 = queryNorm
             0.40149298 = fieldWeight in 1552, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.4238877 = idf(docFreq=194, maxDocs=44218)
               0.0625 = fieldNorm(doc=1552)
         0.07544864 = weight(abstract_txt:products in 1552) [ClassicSimilarity], result of:
           0.07544864 = score(doc=1552,freq=1.0), product of:
             0.21526608 = queryWeight, product of:
               3.7996604 = boost
               5.6078424 = idf(docFreq=440, maxDocs=44218)
               0.010102643 = queryNorm
             0.35049015 = fieldWeight in 1552, 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=1552)
         0.49564198 = weight(abstract_txt:product in 1552) [ClassicSimilarity], result of:
           0.49564198 = score(doc=1552,freq=9.0), product of:
             0.4415671 = queryWeight, product of:
               7.3011556 = boost
               5.98646 = idf(docFreq=301, maxDocs=44218)
               0.010102643 = queryNorm
             1.1224613 = fieldWeight in 1552, product of:
               3.0 = tf(freq=9.0), with freq of:
                 9.0 = termFreq=9.0
               5.98646 = idf(docFreq=301, maxDocs=44218)
               0.0625 = fieldNorm(doc=1552)
       0.16 = coord(4/25)
   

5. Xiao, D.; Ji, Y.; Li, Y.; Zhuang, F.; Shi, C.: Coupled matrix factorization and topic modeling for aspect mining (2018) 0.10

   0.099835366 = sum of:
     0.099835366 = product of:
       0.62397105 = sum of:
         0.03438405 = weight(abstract_txt:ratings in 5042) [ClassicSimilarity], result of:
           0.03438405 = score(doc=5042,freq=1.0), product of:
             0.07455143 = queryWeight, product of:
               7.3793993 = idf(docFreq=74, maxDocs=44218)
               0.010102643 = queryNorm
             0.46121246 = fieldWeight in 5042, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.3793993 = idf(docFreq=74, maxDocs=44218)
               0.0625 = fieldNorm(doc=5042)
         0.012648725 = weight(abstract_txt:online in 5042) [ClassicSimilarity], result of:
           0.012648725 = score(doc=5042,freq=1.0), product of:
             0.055202182 = queryWeight, product of:
               1.4904271 = boost
               3.6661522 = idf(docFreq=3073, maxDocs=44218)
               0.010102643 = queryNorm
             0.22913451 = fieldWeight in 5042, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.6661522 = idf(docFreq=3073, maxDocs=44218)
               0.0625 = fieldNorm(doc=5042)
         0.4117243 = weight(abstract_txt:rating in 5042) [ClassicSimilarity], result of:
           0.4117243 = score(doc=5042,freq=7.0), product of:
             0.32379958 = queryWeight, product of:
               4.1681194 = boost
               7.689554 = idf(docFreq=54, maxDocs=44218)
               0.010102643 = queryNorm
             1.2715405 = fieldWeight in 5042, product of:
               2.6457512 = tf(freq=7.0), with freq of:
                 7.0 = termFreq=7.0
               7.689554 = idf(docFreq=54, maxDocs=44218)
               0.0625 = fieldNorm(doc=5042)
         0.16521399 = weight(abstract_txt:product in 5042) [ClassicSimilarity], result of:
           0.16521399 = score(doc=5042,freq=1.0), product of:
             0.4415671 = queryWeight, product of:
               7.3011556 = boost
               5.98646 = idf(docFreq=301, maxDocs=44218)
               0.010102643 = queryNorm
             0.37415376 = fieldWeight in 5042, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.98646 = idf(docFreq=301, maxDocs=44218)
               0.0625 = fieldNorm(doc=5042)
       0.16 = coord(4/25)