Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Robust goal-mouth detection for virtual content insertion
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Modeling the Clickstream: Implications for Web-Based Advertising Efforts
Marketing Science
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
Integrating AHP and data mining for product recommendation based on customer lifetime value
Information and Management
IEEE Transactions on Knowledge and Data Engineering
Real time advertisement insertion in baseball video based on advertisement effect
Proceedings of the 13th annual ACM international conference on Multimedia
Detecting online commercial intention (OCI)
Proceedings of the 15th international conference on World Wide Web
An intelligent fuzzy-based recommendation system for consumer electronic products
Expert Systems with Applications: An International Journal
Demographic prediction based on user's browsing behavior
Proceedings of the 16th international conference on World Wide Web
IEEE Transactions on Knowledge and Data Engineering
A semantic approach to contextual advertising
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
VideoSense: towards effective online video advertising
Proceedings of the 15th international conference on Multimedia
Advertising keyword suggestion based on concept hierarchy
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Tag-based social interest discovery
Proceedings of the 17th international conference on World Wide Web
AdImage: video advertising by image matching and ad scheduling optimization
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Annotating Images by Mining Image Search Results
IEEE Transactions on Pattern Analysis and Machine Intelligence
A generic virtual content insertion system based on visual attention analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Contextual in-image advertising
MM '08 Proceedings of the 16th ACM international conference on Multimedia
ViSA: virtual spotlighted advertising
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Argo: intelligent advertising by mining a user's interest from his photo collections
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
Inferring semantic concepts from community-contributed images and noisy tags
MM '09 Proceedings of the 17th ACM international conference on Multimedia
User interests in social media sites: an exploration with micro-blogs
Proceedings of the 18th ACM conference on Information and knowledge management
Connecting content to community in social media via image content, user tags and user communication
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Advertising based on users' photos
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
VideoSense: a contextual in-video advertising system
IEEE Transactions on Circuits and Systems for Video Technology
Product recommendation with interactive query management and twofold similarity
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
PageSense: style-wise web page advertising
Proceedings of the 19th international conference on World wide web
GameSense: game-like in-image advertising
Multimedia Tools and Applications
Learning travel recommendations from user-generated GPS traces
ACM Transactions on Intelligent Systems and Technology (TIST)
Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images
ACM Transactions on Intelligent Systems and Technology (TIST)
Recommending friends and locations based on individual location history
ACM Transactions on the Web (TWEB)
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Tagging photos using users' vocabularies
Neurocomputing
LCMKL: latent-community and multi-kernel learning based image annotation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Recommendation via user's personality and social contextual
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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With the advent and popularity of social media, users are willing to share their experiences by photos, reviews, blogs, and so on. The social media contents shared by these users reveal potential shopping needs. Product recommender is not limited to just e-commerce sites, it can also be expanded to social media sites. In this paper, we propose a novel hierarchical user interest mining (Huim) approach for personalized products recommendation. The input of our approach consists of user-contributed photos and user generated content (UGC), which include user-annotated photo tags and the comments from others in a social site. The proposed approach consists of four steps. First, we make full use of the visual information and UGC of its photos to mine user's interest. Second, we represent user interest by a topic distribution vector, and apply our proposed Huim to enhance interest-related topics. Third, we also represent each product by a topic distribution vector. Then, we measure the relevance of user and product in the topic space and determine the rank of each product for the user. We conduct a series of experiments on Flickr users and the products from Bing Shopping. Experimental results show the effectiveness of the proposed approach.