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| Content Provider | ACM Digital Library |
|---|---|
| Author | Wang, Jinqiao Duan, Ling-Yu Wang, Bo Lu, Hanqing Tian, Qi |
| Abstract | The rapid popularization of various online media services have attracted large amounts of consumers and shown us a large potential market of video advertising. In this paper, we aim to produce interactive service recommendation based on ad concept hierarchy by linking web videos, especially ad videos, with informative product details over the commercial websites. By introducing the domain based concept hierarchy, the recommendation quality is greatly improved. Given an ad video, we will try to semantically analyze it and conduct a contextual search from two aspects: video content and tags. For video content, we firstly extract its key frames and then make a visual search to find some relevant products. For video tags (if any) and relevant product tags gained by visual search, we will launch a textual search based on our ad concept hierarchy to judge the product category, generate some suggestion keywords, and give some recommended products to users. Users can also interactively select and adjust product categories and keywords to personalize their intentions by textual re-search. Our experimental results show that the system can successfully provide suggestion that meets the relevancy and individual requirements. |
| Starting Page | 87 |
| Ending Page | 90 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450304603 |
| DOI | 10.1145/1937728.1937749 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-12-30 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Concept hierarchy Video analysis Service recommendation |
| Content Type | Text |
| Resource Type | Article |
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