Relevance weighting for query independent evidence
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Beyond PageRank: machine learning for static ranking
Proceedings of the 15th international conference on World Wide Web
Using context to assist in personal file retrieval
Using context to assist in personal file retrieval
A study of remembered context for information access from personal digital archives
Proceedings of the second international symposium on Information interaction in context
Affective ranking of movie scenes using physiological signals and content analysis
MS '08 Proceedings of the 2nd ACM workshop on Multimedia semantics
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Recent developments in information retrieval
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
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Personal lifelog archives contain digital records captured from an individual’s daily life, e.g. emails, web pages downloaded and SMSs sent or received. While capturing this information is becoming increasingly easy, subsequently locating relevant items in response to user queries from within these archives is a significant challenge. This paper presents a novel query independent static biometric scoring approach for re-ranking result lists retrieved from a lifelog using a BM25 model for content and content + context data. For this study we explored the utility of galvanic skin response (GSR) and skin temperature (ST) associated with past experience of items as a measure of potential future significance of items. Results obtained indicate that our static scoring techniques are useful in re-ranking retrieved result lists.