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RECSYS
2009
ACM
14 years 8 days ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
WWW
2010
ACM
14 years 23 days ago
Exploiting social context for review quality prediction
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
Yue Lu, Panayiotis Tsaparas, Alexandros Ntoulas, L...
ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
13 years 11 months ago
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...
ACMICEC
2007
ACM
303views ECommerce» more  ACMICEC 2007»
13 years 9 months ago
Impact of social influence in e-commerce decision making
Purchasing decisions are often strongly influenced by people who the consumer knows and trusts. Moreover, many online shoppers tend to wait for the opinions of early adopters befo...
Young Ae Kim, Jaideep Srivastava
WWW
2009
ACM
14 years 6 months ago
How opinions are received by online communities: a case study on amazon.com helpfulness votes
There are many on-line settings in which users publicly express opinions. A number of these offer mechanisms for other users to evaluate these opinions; a canonical example is Ama...
Cristian Danescu-Niculescu-Mizil, Gueorgi Kossinet...