WEST: Modern Technologies for Web People Search.

Appeared in IEEE ICDE Conference, March 2009.

Dmitri V. Kalashnikov, Zhaoqi Chen, Rabia Nuray-Turan, Sharad Mehrotra, and Zheng Zhang

Computer Science Department
University of California, Irvine
GDF project (http://www.ics.uci.edu/~dvk/GDF)


In this paper we describe WEST (Web Entity Search Technologies) system that we have developed to improve people search over the Internet. Recently the problem of Web People Search (WePS) has attracted significant attention from both the industry and academia. In the classic formulation of WePS problem the user issues a query to a web search engine that consists of a name of a person of interest. For such a query, a traditional search engine such as Yahoo or Google would return webpages that are related to {\em any} people who happened to have the queried name. The goal of WePS, instead, is to output a set of clusters of webpages, one cluster per each distinct person, containing all of the webpages related to that person. The user then can locate the desired cluster and explore the webpages it contains...

Categories and Subject Descriptors:

H.2.m [Database Management]: Miscellaneous - Web People Search;
H.2.8 [Database Management]: Database Applications - Data mining;
H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval


Web People Search, WEPS, clustering, Skyline Based Classifier, Web co-occurrence, Entity Resolution, Disambiguation

Downloadable files:

Paper: ICDE09_dvk_WEST.pdf
Presentation: ICDE09_dvk_WEST.ppt

BibTeX entry:

   author    = {Dmitri V. Kalashnikov and Zhaoqi Chen and Rabia Nuray-Turan and Sharad Mehrotra and Zheng Zhang},
   title     = {{WEST}: {M}odern Technologies for {Web People Search}},
   booktitle = {Proc.\ of the 25th IEEE Intíl Conference on Data Engineering (IEEE ICDE 2009)},
   note      = {demo publication},
   year      = {2009},   
   month     = {March 29 - April 4},
   address   = {Shanghai, China}   

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