Communications of the ACM
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Exploring Versus Exploiting when Learning User Models for Text Recommendation
User Modeling and User-Adapted Interaction
INTIMATE: A Web-Based Movie Recommender Using Text Categorization
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
A Hybrid Movie Recommender System Based on Neural Networks
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Video search reranking via information bottleneck principle
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Extreme video retrieval: joint maximization of human and computer performance
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
An attention-based decision fusion scheme for multimedia information retrieval
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Optimization-based automated home video editing system
IEEE Transactions on Circuits and Systems for Video Technology
VideoSense: a contextual video advertising system
Proceedings of the 15th international conference on Multimedia
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Search trails using user feedback to improve video search
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
Personalized News Video Recommendation Via Interactive Exploration
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Personalized News Video Recommendation
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Large scale incremental web video categorization
WSMC '09 Proceedings of the 1st workshop on Web-scale multimedia corpus
VideoSense: a contextual in-video advertising system
IEEE Transactions on Circuits and Systems for Video Technology
Personalized online video recommendation by neighborhood score propagation based global ranking
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Topic models for semantics-preserving video compression
Proceedings of the international conference on Multimedia information retrieval
Vlogging: A survey of videoblogging technology on the web
ACM Computing Surveys (CSUR)
Multiple feature fusion for social media applications
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Optimizing visual search with implicit user feedback in interactive video retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
Contextual Video Recommendation by Multimodal Relevance and User Feedback
ACM Transactions on Information Systems (TOIS)
Effects of Usage-Based Feedback on Video Retrieval: A Simulation-Based Study
ACM Transactions on Information Systems (TOIS)
Integrating rich information for video recommendation with multi-task rank aggregation
MM '11 Proceedings of the 19th ACM international conference on Multimedia
A unified framework for web video topic discovery and visualization
Pattern Recognition Letters
A GPU-based high-throughput image retrieval algorithm
Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units
SocialTransfer: cross-domain transfer learning from social streams for media applications
Proceedings of the 20th ACM international conference on Multimedia
Personalized video recommendation through tripartite graph propagation
Proceedings of the 20th ACM international conference on Multimedia
Collective search and recommendation in social media
Proceedings of the 20th ACM international conference on Multimedia
Generating virtual ratings from chinese reviews to augment online recommendations
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Socially-aware video recommendation using users' profiles and crowdsourced annotations
Proceedings of the 2nd international workshop on Socially-aware multimedia
Measuring and addressing the impact of cold start on associative tag recommenders
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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With Internet delivery of video content surging to an un-precedented level, video recommendation has become a very popular online service. The capability of recommending relevant videos to targeted users can alleviate users' efforts on finding the most relevant content according to their current viewings or preferences. This paper presents a novel online video recommendation system based on multimodal fusion and relevance feedback. Given an online video document, which usually consists of video content and related information (such as query, title, tags, and surroundings), video recommendation is formulated as finding a list of the most relevant videos in terms of multimodal relevance. We express the multimodal relevance between two video documents as the combination of textual, visual, and aural relevance. Furthermore, since different video documents have different weights of the relevance for three modalities, we adopt relevance feedback to automatically adjust intra-weights within each modality and inter-weights among different modalities by users' click-though data, as well as attention fusion function to fuse multimodal relevance together. Unlike traditional recommenders in which a sufficient collection of users' profiles is assumed available, this proposed system is able to recommend videos without users' profiles. We conducted an extensive experiment on 20 videos searched by top 10 representative queries from more than 13k online videos, reported the effectiveness of our video recommendation system.