Personalized Expert-Based Recommendation
نویسندگان
چکیده
منابع مشابه
Personalized Opinion-Based Recommendation
E-commerce recommender systems seek out matches between customers and items in order to help customers discover more relevant and satisfying products and to increase the conversion rate of browsers to buyers. To do this, a recommender system must learn about the likes and dislikes of customers/users as well as the advantages and disadvantages (pros and cons) of products. Recently, the explosion...
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Mobile devices are in a widespread use today. Restricted by the features of mobile devices, such as mobility, low communication bandwidth, small capacity of memory, limited power and inconvenient interaction, mobile services are required to recommend items adapting to the user need and location. Much existing research on recommendations ignores semantic information of user dynamic historical pr...
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Recommender systems have become an important tool for users to identify interesting items as well as for businesses to promote their products to the right users. With the rapid development of social networks, travelers start to seek recommendations and advises from websites like TripAdvisor and Yelp. While travelers are willing to share their opinions on social networks, this provides an opport...
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ژورنال
عنوان ژورنال: Journal of Korean Institute of Intelligent Systems
سال: 2013
ISSN: 1976-9172
DOI: 10.5391/jkiis.2013.23.1.7