With the development of digital information storage technology and portable sensing devices, users are gradually accustomed to recording their personal life~(i.e., lifelog) in various digital ways. Therefore, the retrieval of lifelogging has become a new and essential research topic in related fields. Unlike traditional search engines, in lifelog, text and other data automatically recorded in real-time by sensors bring challenges to data arrangement and search. As the dataset is highly personalized, interactions and feedback from users should also be considered in the search engine. This paper describes our interactive approach for the NTCIR-16 Lifelog-4 Task. The task is to search relevant lifelog images from the users' daily lifelog given an event topic. A significant challenge is how to bridge the semantic gap between lifelog images and event-level topics. We propose a framework to address this problem with a multi-functional and flexible feedback mechanism and result presentation for interaction in a search engine. Besides, we propose a query text parsing procedure that parses the long query text into keywords and fills the fields automatically. We analyzed the interactive lifelog search engine with 12 topics constructed by ourselves according to LSC'18 development topics. Finally, we achieved an official result of 741 at the NTCIR-16 Lifelog-4 task in terms of RelRet score over 48 topics.
He et al. (Tue,) studied this question.
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