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TCS: Efficient Topic Discovery over Crowd-oriented Service Data

Published on Oct 07, 20142434 Views

Lei Chen

In recent years, with the widespread usage of Web 2.0 techniques, crowdsourcing plays an important role in offering human intelligence in various service websites, such as Yahoo! Answer and Quora. Wit

Research Sessions

Related categories

Data MiningKnowledge Extraction

Chapter list

TCS: Efficient Topic Discovery over Crowd-oriented Service Data00:00
Outline - 100:20
Crowdsourcing in Social Media00:29
Crowdsourcing Process00:49
Crowd-Oriented Services01:26
Crowd-Oriented Service Data - 101:46
Crowd-Oriented Service Data - 201:59
Crowd-Oriented Service Data - 302:11
Crowd-Oriented Service Data - 402:22
Crowd-Oriented Service Data - 502:29
Crowd-Oriented Service Data - 602:36
Crowd-Oriented Service Data - 702:44
Crowd-Oriented Service Data - 802:45
Characteristic of Crowd-Oriented Service Data-I02:47
Characteristic of Crowd-Oriented Service Data-II03:58
Characteristic of Crowd-Oriented Service Data-III - 104:25
Characteristic of Crowd-Oriented Service Data-III - 204:45
Characteristic of Crowd-Oriented Service Data-III - 304:55
Characteristic of Crowd-Oriented Service Data-III - 405:02
Characteristic of Crowd-Oriented Service Data-III - 505:07
Characteristic of Crowd-Oriented Service Data-III - 6 05:07
Applications of Topics in Crowd-Oriented Service Data05:47
Challenges07:31
Our Contributions08:03
Outline - 209:21
Problem Definitions - 109:23
Problem Definitions - 209:39
Problem Definitions - 310:02
Outline - 310:15
Generative Process of TCS Model10:16
Challenges of TCS Model11:25
Outline - 412:20
Key ideas of Pairwise Sketch12:24
Pairwise Sketch - 112:31
Pairwise Sketch - 213:04
Pairwise Sketch - 313:05
Outline - 513:06
Belief Residual of Sentences - 113:08
Belief Residual of Sentences - 213:43
Belief Update Algorithm - 113:56
Belief Update Algorithm - 214:13
Parameter Estimation in A Bucket14:29
Belief Calculation over Multiple Buckets14:32
Outline - 614:50
Efficiency14:52
Memory Consumption15:20
Effectiveness15:32
BPE v.s. GS and VB16:00
Topic Evolution (Sport Topic)16:42
Outline - 717:04
Conclusion17:06
Thank you17:07