How people revisit web pages: empirical findings and implications for the design of history systems
International Journal of Human-Computer Studies - Special issue: World Wide Web usability
Stuff I've seen: a system for personal information retrieval and re-use
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Information re-retrieval: repeat queries in Yahoo's logs
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
The re:search engine: simultaneous support for finding and re-finding
Proceedings of the 20th annual ACM symposium on User interface software and technology
Large scale analysis of web revisitation patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SearchBar: a search-centric web history for task resumption and information re-finding
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Web History Tools and Revisitation Support: A Survey of Existing Approaches and Directions
Foundations and Trends in Human-Computer Interaction
iMecho: an associative memory based desktop search system
Proceedings of the 18th ACM conference on Information and knowledge management
Supporting context-based query in personal DataSpace
Proceedings of the 18th ACM conference on Information and knowledge management
Integrating memory context into personal information re-finding
FDIA'08 Proceedings of the 2nd BCS IRSG conference on Future Directions in Information Access
Design and implementation of a context-based media retrieval system
CVM'12 Proceedings of the First international conference on Computational Visual Media
Enhancing web revisitation by contextual keywords
ICWE'13 Proceedings of the 13th international conference on Web Engineering
| Hi-index | 0.00 |
Re-finding what we have accessed before is a common behavior in real life. Psychological studies show that context under which information was accessed can serve as a powerful cue for information recall. "Finding the sweet recipe that I read at the hotel on the trip to Africa last year" is a context-based re-finding request example. Inspired by users' recall characteristics and human memory, we present a context memory model, where each context unit links to the data created/accessed before. Context units are organized in a clustering and associative manner, and evolve dynamically in life cycles. Based on the context memory, we build a recall-by-context query model. Two methods are devised to evaluate context-based recall queries. Our experiments with synthetic and real data show that evaluation exploring the use of context associations can get the best response time.