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Li, H.; Bhowmick, S.S.; Sun, A.: AffRank: affinity-driven ranking of products in online social rating networks (2011)
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- 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.
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1345-1359
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Sun, A.; Lim, E.-P.: Web unit-based mining of homepage relationships (2006)
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- Date
- 22. 7.2006 16:18:25
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.3, S.394-407
-
Sun, A.; Lim, E.-P.; Ng, W.-K.: Performance measurement framework for hierarchical text classification (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.11, S.1014-1028
-
Li, J.; Sun, A.; Xing, Z.: To do or not to do : distill crowdsourced negative caveats to augment api documentation (2018)
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- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.12, S.1460-1475
-
Zheng, X.; Sun, A.: Collecting event-related tweets from twitter stream (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.2, S.176-186
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Sun, A.; Bhowmick, S.S.; Nguyen, K.T.N.; Bai, G.: Tag-based social image retrieval : an empirical evaluation (2011)
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- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.12, S.2364-2381
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Qu, B.; Cong, G.; Li, C.; Sun, A.; Chen, H.: ¬An evaluation of classification models for question topic categorization (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.889-903
-
Li, C.; Sun, A.; Datta, A.: TSDW: Two-stage word sense disambiguation using Wikipedia (2013)
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- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.6, S.1203-1223
-
Ma, Z.; Sun, A.; Cong, G.: On predicting the popularity of newly emerging hashtags in Twitter (2013)
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- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1399-1410
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Sedhai, S.; Sun, A.: ¬An analysis of 14 Million tweets on hashtag-oriented spamming* (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.7, S.1638-1651
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Phan, M.C.; Sun, A.: Collective named entity recognition in user comments via parameterized label propagation (2020)
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- Journal of the Association for Information Science and Technology. 71(2020) no.5, S.568-577
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Lee, G.E.; Sun, A.: Understanding the stability of medical concept embeddings (2021)
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- Journal of the Association for Information Science and Technology. 72(2021) no.3, S.346-356
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Yu, M.; Sun, A.: Dataset versus reality : understanding model performance from the perspective of information need (2023)
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- Journal of the Association for Information Science and Technology. 74(2023) no.11, S.1293-1306
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Li, C.; Sun, A.: Extracting fine-grained location with temporal awareness in tweets : a two-stage approach (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.7, S.1652-1670
