Location: EU Supported » ACTIVE - Enabling the Knowledge Powered Enterprise » World Wide Web 2009 Conference

Mining the Web 2.0 for Better Search

author:Ricardo Baeza-Yates, Yahoo! Research
published: May 20, 2009,   recorded: April 2009,   views: 103
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Slides

Slides
0:00 Mining the Web 2.0 to improve Search
0:27 Agenda
1:19 Content and Metadata trends
2:22 Examples
5:28 The Wisdom of Crowds (1)
6:48 The Wisdom of Crowds (2)
7:38 The Wisdom of Crowds (3)
8:26 The Wisdom of Crowds (4)
10:02 Tag Mining - Collective Knowledge
10:33 Improving Image Search
10:48 TagExplorer
11:37 Dynamic Tag Clouds
12:04 Semantic Breakup of Tag Clouds
12:34 Tag Mining - Classification (1)
12:59 Tag Mining - Classification (2)
13:19 TagExplorer - Example
14:22 Could suggest tags: nice but ...
15:22 Dimensions of Diversity
15:48 Topical Diversity
16:09 Retrieval Performance
16:28 Use Visual Annotations
17:02 Content-based Image Retrieval
17:28 High-level search outline (1)
17:50 High-level search outline (2)
18:05 High-level search outline (3)
18:22 Evaluation
18:41 Results: Systems comparison
19:36 Bridging implicit and explicit metadata
20:21 Language, Text, Search & 'Semantics' ...
21:26 Extending metadata
21:53 Entity Containment Graph
22:28 Example: Picasso
22:39 Correlator
23:41 Correlator - Examples
24:49 Overview page
25:42 Step 1: Definitions of query concepts
25:52 Step 2: Realtions between query concepts (1/2)
26:11 Step 2: Realtions between query concepts (2/2)
26:21 Synthetic Page - example
27:01 Queries as implicit tags
28:07 Click Graph
28:32 Session (Query-Flow) Graph
28:55 Query-reformulation types
29:27 SearchPad
30:06 Research Session
30:41 Research Sessions
31:00 Implicit Folksonomy?
32:22 Implicit Knowledge? Web slang!
34:06 Experimental Evaluation
35:06 Open Issues
37:57 The Virtuous Cycle
39:14 Questions?

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Description

There are several semantic sources that can be found in the Web that are either explicit, e.g. Wikipedia, or implicit, e.g. derived from Web usage data. Most of them are related to user generated content (UGC) or what is called today the Web 2.0. In this talk we show several applications of mining the wisdom of crowds behind UGC to improve search. We will show live demos to find relations in the Wikipedia or to improve image search as well as our current research in the topic. Our final goal is to produce a virtuous data feedback circuit to leverage the Web itself.

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