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Placing Videos on a Semantic Hierarchy for Search Result Navigation
Author(s) -
Song Tan,
YuGang Jiang,
ChongWah Ngo
Publication year - 2014
Publication title -
acm transactions on multimedia computing communications and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.558
H-Index - 49
eISSN - 1551-6865
pISSN - 1551-6857
DOI - 10.1145/2578394
Subject(s) - semantic search , computer science , hierarchy , information retrieval , relevance (law) , search engine , node (physics) , world wide web , search problem , keyword search , structural engineering , algorithm , economics , political science , law , market economy , engineering
Organizing video search results in a list view is widely adopted by current commercial search engines, which cannot support efficient browsing for complex search topics that have multiple semantic facets. In this article, we propose to organize video search results in a highly structured way. Specifically, videos are placed on a semantic hierarchy that accurately organizes various facets of a given search topic. To pick the most suitable videos for each node of the hierarchy, we define and utilize three important criteria: relevance, uniqueness, and diversity. Extensive evaluations on a large YouTube video dataset demonstrate the effectiveness of our approach.

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