The Neighborhood Celebrity Chapter 1 WORK
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the neighborhood celebrity chapter 1
Next, we study the reverse problem, namely, the Reverse Spatial Top-k Keyword (RSK) query: given a query term q, an integer k, and a neighborhood size l, find the neighborhoods of that size where q is in the top-k most frequent terms among the social posts in those neighborhoods. An obvious approach would be to partition the dataset with a uniform grid structure of cell size l (a temporal window, a spatial square, or a spatiotemporal cube) and identify the cells where this term is in the top-k most frequent keywords. However, this answer would be incomplete since it only checks for neighborhoods that are perfectly aligned to the grid. What makes the problem challenging challenging is that the complete answer should identify neighborhoods placed anywhere in the search space. Furthermore, for every neighborhood that is an answer, one can easily create another neighborhood with the same data points that are also an answer (by merely moving this neighborhood in any direction as long as it contains the same set of data points). In particular, there are infinitely many such answers. Instead, we identify contiguous regions where any point in the region can be the center of a neighborhood that satisfies the query. We propose an index structure (that employs a uniform grid augmented by materialized sorted term lists) and algorithms to answer the RSK query efficiently. We apply various optimizations that drastically improve query latency against the baseline. We also provide a theoretical model to choose the optimal cell size to minimize query latency. We further examine an approximate version of the RSK, which leads to faster query processing. Extensive experimental performance evaluation of the proposed methods using real Twitter datasets shows the efficiency of our optimizations and the accuracy of the proposed theoretical model.
Finally, we examine the Reverse Spatial Top-k Snapshot Query (RSKSQ), which like the RSK query, identifies areas where a keyword is popular, however, it operates over the Twitter data stream. Given a query term q, an integer k, a neighborhood size l, a time window W, and a refresh rate r, we find the neighborhoods of size l where q is in the top-k most frequent terms among the tweets in those neighborhoods. To answer RSKSQ queries, we run the RSK query over a snapshot of a fixed-sized time window (W) of the most recent tweets, i.e., tweets posted in the last W minutes, and refresh the results every r seconds. To implement this approach we use a Ring Buffer B of a fixed size to keep track of the latest tweets. If B becomes full, we discard the oldest tweets. We use an index structure consisting of a uniform grid augmented by materialized lists of term frequencies and a filter-refinement-based RSK query processing algorithm optimized for fast updates to find the answers. We have implemented a system that provides the results of RSKSQ refreshed every r seconds using a desktop application based on ArcGIS.
This dissertation approaches Chen Jitong (1852-1907), a late Qing diplomat\u2019s cross-cultural writing attempt in his major work to explore the cultural and literary representation of late Qing literati on the world stage. During his 16- year stay in Europe (1875-1891), Chen, a secretary and attach\u00E9 in the Chinese legation, also acted as a cultural celebrity by writing several books to introduce China and actively participating in cultural activities. Through the perspectives of modernity, gender and poetics, we gain a rare glimpse of how literati of his generation imagined and presented a \u201CChinese culture\u201D to the western world.
FQ: To avoid too much of a spoiler, it was bittersweet for me to read the closing chapter in what became of Topps Meat Company. Did you have suspicions this would be the ultimate end game? Do you think there would have been anything you could have done to mitigate the result?
SACHS: My most memorable celebrity encounter had to be with Willie Mays (Hall of Fame baseball player) who joined us several times to play poker. Others included Bo Dietl (NY police detective who went on to fame in television and guest appearances on the Don Imus radio show), Yvonne De Carlo (internationally famous Hollywood film star), and Bob Uecker (former baseball player, sports commentator, comedian and actor).
Andersonville Andersonville started out as a Swedish community, which influenced its architecture, religion, cuisine, and lifestyle. Today, other diverse cultures have been folded in to create a prosperous community of local businesses, thriving Hispanic and Swedish communities, and neighborhood involvement and commitment. Some of the culinary highlights of Andersonville are the ethnic delis, bakeries, and food shops. For a hearty breakfast, try Svea (5236 North Clark Street, 773-275-7738).
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