Studying Interaction Methodologies in Video Retrieval
Summary: Studying interaction methodologies for video retrieval to bridge the semantic gap, focusing on implicit user signals as relevance indicators. Proposes fusing implicit feedback with static user profiles to build an adaptive, data-driven video retrieval model. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Frank Hopfgartner (University of Glasgow)
BibTeX Citation
@article{hopfgartner_vldb08,
title = {{Studying Interaction Methodologies in Video Retrieval}},
author = {Hopfgartner, Frank},
journal = {PVLDB},
series = {{VLDB} '08},
doi = {10.14778/1454159.1454233},
url = {https://doi.org/10.14778/1454159.1454233},
year = {2008}
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