PPT-Temporal Query Log Profiling to Improve Web Search Ranking

Alexander Kotov UIUC Pranam Kolari Yi Chang Yahoo Lei Duan Microsoft Motivation Improvements in ranking can be achieved in two ways Better featuresmethods for promoting highquality result pages. Information Retrieval in Practice. All slides ©Addison Wesley, 2008. Search Engine Architecture. A software architecture consists . of . software . components, the interfaces provided by those . components, and . Speaker: . Rui-Rui. Li. Supervisor: Prof. Ben Kao. 1. Outline. Introduction. Motivation. Methods. -using click-through data. -using session data. -context aware query suggestion. -other methods. Conclusion. Bell . Larus. Profiling. Profiles . Intra. Procedural, . Acyclic. Paths. DAG. . G. from the . CFG. Idea: Assign weights to the edges of . G . s.t.. the . pathIds. (which are the sums of the . wts. Tom O’Regan. September . 2014. HIQA: Risk Profiles. Our Risk . P. rofile . tool . is . core to responsive regulation and in large part informs how the Authority responds to risk in designated . centres. Jaime . Teevan. , Microsoft . Reseach. UNC 2015. David Foster Wallace. Mark Twain. Cowards die many times . before their deaths. . Annotated by Nelson Mandela. I . have discovered a truly marvelous proof . Profile antibodies to over 8000 human proteins using Luminex xMAP technology. Autoantibodies as Biomarkers. The immune system functions as a an early warning system.. Malignant transformation, infections, and many diseases can trigger an immune response. Jianfeng Gao, MSR. (Joint work with . Jian. Huang, . Jiangbo. Miao, Xiaolong Li, Kuansan Wang and Fritz Behr). Outline. N-gram language model (LM) ABC. N-gram LM at Microsoft. Bing-It-On-. Ngram. Building Web scale N-gram LM. 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:. End Racial Profiling Campaign. DRUM (. Desis. Rising Up and Moving). In partnership with Rights Working Group. Julie . Teuber. Debbie . Campbell. Definition of Racial Profiling. . The . Department of Justice . Kristina . Lerman. What can we learn from web search queries?. Characteristics. Length has steadily grown over the years. 1990’s: < 2 terms. 2001: 2.4 terms. 2014: long search queries, e.g., “where is the nearest coffee shop”. Kai Li, Guo-Jun Qi, Jun Ye, Tuoerhongjiang Yusuph, Kien A. Hua. Department of Computer Science. University of Central Florida. ISM 2016. Presented by . Tuoerhongjiang Yusuph. Introduction. Massive amount of high-dimensional data, high computational costs …. All slides ©Addison Wesley, 2008. Search Engine Architecture. A software architecture consists . of . software . components, the interfaces provided by those . components, and . the relationships between . Course Goal. The goal of this course is to teach end users of ctcLink PeopleSoft to find and retrieve Queries and Reports in the most effective manner.. Course Learning Objectives. At the end of this course users will:. Raju . Balakrishnan. . rajub@asu.edu. (PhD Dissertation Defense). Committee: Subbarao Kambhampati (chair). Yi Chen. . AnHai. Doan. . Huan. Liu.. Agenda. Part 1: Ranking the Deep Web. SourceRank: Ranking Sources..