IEEE Transactions on Knowledge and Data Engineering
Query suggestions for mobile search: understanding usage patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The role of context in query input: using contextual signals to complete queries on mobile devices
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
Context-aware query suggestion by mining click-through and session data
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A large scale study of European mobile search behaviour
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
Personalized recommendation on dynamic content using predictive bilinear models
Proceedings of the 18th international conference on World wide web
Proceedings of the 18th international conference on World wide web
Large-scale collaborative prediction using a nonparametric random effects model
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Query result clustering for object-level search
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Context-aware query classification
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Named entity recognition in query
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A comparison of query and term suggestion features for interactive searching
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
An evaluation of entity and frequency based query completion methods
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A spatio-temporal approach to collaborative filtering
Proceedings of the third ACM conference on Recommender systems
Unsupervised named-entity extraction from the Web: An experimental study
Artificial Intelligence
A contextual-bandit approach to personalized news article recommendation
Proceedings of the 19th international conference on World wide web
Building taxonomy of web search intents for name entity queries
Proceedings of the 19th international conference on World wide web
Learning with click graph for query intent classification
ACM Transactions on Information Systems (TOIS)
Social media recommendation based on people and tags
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 12th ACM international conference on Ubiquitous computing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Collaborative activity recognition via check-in history
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks
AMIGO: accurate mobile image geotagging
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Probabilistic sequential POIs recommendation via check-in data
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Robust and accurate mobile visual localization and its applications
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
GIANT: geo-informative attributes for location recognition and exploration
Proceedings of the 21st ACM international conference on Multimedia
Detecting profilable and overlapping communities with user-generated multimedia contents in LBSNs
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Multimedia search reranking: A literature survey
ACM Computing Surveys (CSUR)
Mining geographic-temporal-semantic patterns in trajectories for location prediction
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
Feature engineering for semantic place prediction
Pervasive and Mobile Computing
Breaking the habit: Measuring and predicting departures from routine in individual human mobility
Pervasive and Mobile Computing
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Mobile devices are becoming ubiquitous. People use their phones as a personal concierge discovering and making decisions anywhere and anytime. Understanding user intent on the go therefore becomes important for task completion on the phone. While existing efforts have predominantly focused on understanding the explicit user intent expressed by a textual or voice query, this paper presents an approach to context-aware and personalized entity recommendation which understands the implicit intent without any explicit user input on the phone. The approach, highly motivated from a large-scale mobile click-through analysis, is able to rank both the entity types and the entities within each type (here an entity is a local business, e.g., "I love sushi," while an entity type is a category, e.g., "restaurant"). The recommended entity types and entities are relevant to both user context (past behaviors) and sensor context (time and geo-location). Specifically, it estimates the generation probability of an entity by a given user conditioned on the current context in a probabilistic framework. A random-walk propagation is then employed to refine the estimated probability by mining the temporal patterns among entities. We deploy a recommendation application based on the proposed approach on Window Phone 7 devices. We evaluate recommendation performance on 10 thousand mobile clicks, as well as user experience through subjective user studies. We show that the application is effective to facilitate the exploration and discovery of surroundings for mobile users.