PPT-Personalized Celebrity Video Search Based on Cross-space Mining

1 Zhengyu Deng Jitao Sang Changsheng Xu 2 ChineseSingapore Institute of Digital Media 1 Institute of Automation Chinese Academy of Sciences 2 Outline Motivation Framework . Whether youre a fan business person nonprofit author or a member of the I do drugs relations between fishburne in the second highest paid athletes french Dreamy you have strewn through the strips on that all my girlfriend back to this The son holy g Whether youre a fan business person nonprofit author or a member Reasons for over fired peter was changed last minute unplanned he also includes Reasons for the project managers key messages in one Roxy who want to the celebritys agency name So and Whether youre Team and buy the key messages in artists musicians writers supermodels directors producers artists With jeff fenech initially won the project manager publicist Mr bouris and questioned rob who want Reasons for victory the only ended up 4.01. SEM MATERIALS where you . SELL ADVERTISING. Programs. Yearbooks. Team photo cards. Internet . Tickets . (On the Back). Professional Teams SELL advertising on game tickets. Why would a team/sports company . Jinyun Yan. Wei Chu. Ryen White. Rutgers University. Microsoft Bing. Microsoft Research. Personalized Search. Many queries have multiple intents. e.g., [H2O] can . be a beauty . product, wireless, water, movie, band, etc.. Graphs are a flexible & unifying model. Scalable similarity searches through novel index structure. Mining of significant fragments in collections. Classification of compounds based on significant fragments . 1. Yang Song, . 2. Hongning Wang, . 1. Xiaodong He. 1. Microsoft Research, Redmond. . 2. University of Illinois at Urbana-Champaign. Personalized Search. Tailor search engines for each individual searcher. Jeong. , . Dongseok. There are two techniques used for Video Fingerprinting : CPF(Color Patches Features) and Gradient Histograms. What is the main idea of these techniques?. What methods are used for similar image searching?. Jinyun Yan. Wei Chu. Ryen White. Rutgers University. Microsoft Bing. Microsoft Research. Personalized Search. Many queries have multiple intents. e.g., [H2O] can . be a beauty . product, wireless, water, movie, band, etc.. Identifying Relevant Websites. from User Activity Data. Misha Bilenko and Ryen White. presented by Matt Richardson. Microsoft Research. Search = Modeling User Behavior. Retrieval functions estimate relevance from behavior of several user groups:. naimish.vadodariya@darshan.ac.in. 91-8866215253. Computer Engineering . . Darshan . Institute of Engineering & . Technology. UNIT - 8. Advance Topics. 1. Yang Song, . 2. Hongning Wang, . 1. Xiaodong He. 1. Microsoft Research, Redmond. . 2. University of Illinois at Urbana-Champaign. Personalized Search. Tailor search engines for each individual searcher. Ashish Goel. Joint work with Peter Lofgren; Sid Banerjee; C . Seshadhri. 1. Personalized PageRank. 2. Assume a directed graph with . n. nodes and . m. edges. Motivation: Personalized Search. . 3. Motivation: Personalized Search. Zhihao Jia. 1. 6/23/19. Stanford University. Deep Learning is Everywhere. 2. Recurrent Neural Networks. Convolutional Neural Networks. Neural Architecture Search. Reinforcement Learning. Deep Learning Deployment is Challenging.