PPT-Time-sensitive Personalized Query Auto-Completion

Date 20150129 Author Fei Cai Shangsong Liang Maarten de Rijke Source CIKM14 Advisor Jia ling Koh Speaker SzHanWang Outline Introduction. Auto-Completion. Authors:Naama. . Kraus and . Ziv. . Bar-. Yossef. Date of . publication:November. 2010. speaker:Rishu. Gupta. 1. digital camera reviews. d. igital camera buying guide. d. igital camera with . 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.. Query Auto-Completion. WWW 2011 Hyderabad India. Naama. Kraus. Computer Science, . Technion. , Israel. Ziv. Bar-. Yossef. Google Israel &. Electrical Engineering, . Technion. , Israel. Motivating Example. Lecture 6: Locality Sensitive Hashing (LSH). Nearest Neighbor . Given a set P of n points in R. d. Nearest Neighbor . Want to build a data structure to answer nearest neighbor queries. Voronoi. Diagram. Police Department. Clear . Lake Division. . Captain . J. C. Stevens. . Law Enforcement Sensitive/Official Use Only. Clear Lake Division. 2015. 2016. Change. Murder. 7. 7. 0% . Sexual Assault (RAPE). 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.. in a Data Stream Management . System. Introduction. Two . fundamental . differences between DSMS and DBMS. In . addition to managing traditional stored data . such as . relations, a DSMS must handle multiple . Type . II (Correlated) Subquery. 1. Microsoft Enterprise Consortium. Microsoft Enterprise Consortium: . http://enterprise.waltoncollege.uark.edu. Microsoft Faculty Connection/Faculty Resource Center . Xian . Jin. , Qin Zheng and Lily Sun. . ICISO 2015, Toulouse . 2015-03-20. 1. Authors. PhD. Candidate of Shanghai University of Finance and . Ecnomics. Major in Management Science and Engineering. MBA and Software Engineering . Auto-Completion. Sandesh Sanjay Gade. Milad . Shokouhi. PRESENTATION. Query auto-completion (QAC). QAC is one of the most prominent features of modern search engines.. List of query candidates generated according to the . 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. A Study in the Context of Intelligent Systems. Ryen W. White, Ahmed Hassan Awadallah, Robert Sim. Microsoft Research. Challenges in Task Management. Intelligent systems (digital assistants, etc.) store / remind users about tasks. MS Thesis Defense. Manishkumar. . Jha. Committee Members. Dr. . Subbarao. . Kambhampati. Dr. . Huan. Liu. Dr. . Hasan. . Davulcu. 2. Deep Web Integration Scenario. Web DB. Mediator. ←. query. Web DB. Query Processing. Document-at-a-time. Calculates complete scores for documents by processing all term lists, one document at a time. Term-at-a-time. Accumulates scores for documents by processing term lists one at a time.