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IR 670 Youtube Search Optimization

This study addresses the limitations of current YouTube search algorithms that do not consider user preferences. The proposed method improves search results by incorporating user entity and video entity features.

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IR 670 Youtube Search Optimization

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  1. IR 670 Youtube Search Optimization Spring 2010 - Prof. Caverlee Spencer Huang, Jue Yi, Chia-Chun Lin,

  2. Youtube Search Problem • When performing a Youtube search, regardless login or not, does not take a Youtube user’s preference into consideration (apply to Google video search also). • Even if there is such a tool, no idea what’s in the box.

  3. Notations • UserEntity(u) - (t in u.fav) + (t in u.upload) + (t in u.subcrption u’) u’, where u’ are terms in u’.fav and u’.upload; u could have multiple u’(s) that u subscribes to. • VideoEntity(v) - (t in v.title) + (t in v.description) + (t in v.category) + (t in v.tag) • User would input Youtube Id and query (at least), which would enable the generation of above entities.

  4. Approach and Feature • Reorder via Vector-Space with stop words and with result retaining • Support features from original Youtube/Google video search. • Add New features such as by author and able/disable restrict content. Crawl UserEntity from Youtube Id and VideoEntity of query Stop words removal, construct tf-idf for U and V, cache U for re-use Cosine-Similarity and reorder Display optimized result

  5. Results • Interface • Ex: Say I have 2 favorite videos for Youtube Id….

  6. Results (cont.)

  7. Evaluation and Analysis

  8. Evaluation and Analysis (cont.)

  9. Problems encountered • Youtube caps quota for deployed GAE, too much requests to Youtube. Works for local GAE. • Needs stop words. • Optimization is directly related to the activities of a Youtube Id.

  10. Possible To do Features and QA • Support for Asian languages • Interface for feature descriptor: No need of Youtube account. • Try it out: http://irytso.appspot.com/ End

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