Image recommendation algorithm based on profile using user preference and visual descriptor
نویسندگان
چکیده
منابع مشابه
Analyzing User Preference for Social Image Recommendation
With the incredibly growing amount of multimedia data shared on the social media platforms, recommender systems have become an important necessity to ease users’ burden on the information overload. In such a scenario, extensive amount of heterogeneous information such as tags, image content, in addition to the user-to-item preferences, is extremely valuable for making effective recommendations....
متن کاملUser Preference Through Learning User Profile for Ubiquitous Recommendation Systems
As ubiquitous commerce is coming, the ubiquitous recommendation systems utilize collaborative filtering to help users with fast searches for the best suitable items by analyzing the similar preference. However, collaborative filtering may not provide high quality recommendation because it does not consider user’s preference on the attribute, the first rater problem, and the sparsity problem. Th...
متن کاملContent-based music recommendation based on user preference examples
Recommending relevant and novel music to a user is one of the central applied problems in music information research. In the present work we propose three content-based approaches to this task. Starting from an explicit set of music tracks provided by the user as evidence of his/her music preferences, we infer high-level semantic descriptors, covering different musical facets, such as genre, cu...
متن کاملUser Profile Based Research Paper Recommendation
Recommender Systems (RSs) are software tools and techniques providing suggestions for items to be of use to a user. [1] For a recommender system to be effective, it has to have a comprehensive and appropriately catalogued repository of resources. Also, it has to be accurate in understanding the need of the user, and basically has to correctly profile the user. Ideally, one needs to take into co...
متن کاملUser Preference-oriented Collaborative Recommendation Algorithm in e-commerce
Collaborative recommendation is a key issue today in e-commerce, which helps users find the information of products which they are interested in from the mass of information. Aiming at the problem in an insufficient personalization of e-commerce recommendation system , a user preference-oriented network model is established in the paper. Related theories and techniques of clustering are used to...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The KIPS Transactions:PartD
سال: 2008
ISSN: 1598-2866
DOI: 10.3745/kipstd.2008.15-d.4.463