TempWeb rd Temporal Web Analytics Workshop
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1 TempWeb rd Temporal Web Analytics Workshop
2 Stuff happens continuously: exploring Web contents with temporal information Omar Alonso Microsoft 13 May 2013
3 Disclaimer The views, opinions, positions, or strategies expressed in this talk are mine and do not necessarily reflect the official policy or position of Microsoft.
4 Agenda Part I: Time in document collections Part II: Social data Part III: Exploring the Web using time
5 Introduction Lots of interest in the research community WSDM 2013 tutorial SIGIR TAIA Workshop (2012/2013) WWW Temporal Web (2011/2012/2013) TREC Temporal information is more visible now Timeline (Facebook) Trending topics (Twitter) Big data
6 What is time? Several ways to express time in a language In linguistics: tense and grammatical aspects Temporal reference expressions On Friday March 31 st, 2007 In the late 90s Several ways to express the same time information Christmas Day December 25 Navidad Weihnachten
7 Characteristics of Temporal Information Temporal Information is well-defined
8 Characteristics of Temporal Information Temporal Information is well-defined two points/intervals temporal relationship before after overlap...
9 Characteristics of Temporal Information Temporal Information can be normalized to some standard format
10 Characteristics of Temporal Information Temporal Information can be normalized to some standard format expressions with same semantics same value in standard format March 28, /03/ today
11 Characteristics of Temporal Information Temporal Information can be organized hierarchically
12 Characteristics of Temporal Information Temporal Information can be organized hierarchically different granularities (day, month, ) tree structure
13 Types of Temporal Information 4 types of temporal expressions Dates Monday 13, 2013 Times 11 a.m. Durations two weeks Sets twice a week
14 Types of Temporal Information Explicit expressions Implicit expressions Relative expressions
15 Types of Temporal Information Explicit expressions refer to specific point in time carry all information explicitly January 25, 2010 November 2012 the 7th century can be normalized without further knowledge
16 Types of Temporal Information Implicit expressions names of holidays names of events Independency Day 2001 Labor Day 1999 can be normalized if semantics is known: Labor Day first Monday in September
17 Types of Temporal Information Relative expressions may be underspecified or deictic today January 12 two weeks later context infeormation is needed reference time relation to reference time
18 Types of Temporal Information Example: explicit and relative expressions with needed context information
19 Extracting temporal expressions Temporal tagger Similar to NER but for time only TimeML format Sunday, 09 July 2006 Italy won the World Cup tonight after beating France on penalties. <s> <TIMEX3 tid="t1" TYPE="DATE" VAL=" "> Sunday, 09 July 2006 </TIMEX3> Italy won the World Cup <TIMEX3 tid="t2" TYPE="DATE" VAL=" TNI"> tonight</timex3> after beating France on penalties. </s>
20 Why we care? Temporal landmarks Temporal evolution
21 Wisdom of crowds Calendar annotation for free Take all hot topics for a year Annotate events that people care Use that to learn what maybe relevant for that date the next year Repeating events Elections, sport championships, etc. Unexpected events that will be remembered 9/11, Japan earthquake, Chilean miners, etc.
22 Document lifecycle Document creation time (ts) Availability of temporal expressions Updates as maintenance Topical relevance Emphasis on freshness: the extent to which information is recent, current, up-to-date
23 SOCIAL DATA
24 Beyond Web pages Notion of document changes Social data Facebook, Twitter, Quora, Foursquare, etc. Wikipedia
25 Twitter 140 characters Entry barrier is pretty low Vitality Events Sports
26 Time in Twitter Trending topics Hashtags Cashtags Group chats
27 Facebook Your timeline Photos over time Generic events Personal social network events Happy Birthday! Weddings New Baby pictures
28 Time and social characteristics User interests can be time sensitive Temporally aware signals (TAS) Recent On-going Seasonal Past Random Three levels Personal Friends Universal Omar - Twitter
29 Questions and Answers Human computation for queries that search engines don t do well Latest incarnations: Quora & StackOverflow
30 Time in CQA Some answers don t change Sustainable questions
31 reddit Extremely popular Threaded structure Communitydriven AMAs
32 Time in reviews Amazon Yelp Foursquare
33 Crowdsourcing Edits Whitney Houston TV appearances Her death in February 2012 Viewing popularity since article creation on January 8 th Time in Wikipedia
34 A common pattern Tweet -> breaking news -> news article -> Wikipedia page
35 The current document view Tweet about Boston marathon Tweet about Boston marathon attack CNN breaking news on Boston marathon attack News on Boston marathon attack Wikipedia article on Boston marathon attack April 15 th 2013
36 EXPLORING DATA WITH TEMPORAL INFORMATION
37 Temporal value Documents/web pages Timestamp + temporal expressions Queries Trends & popularity Temporal value per source Can we associate a temporal utility value at a source?
38 Correlating sources Identify event-based hashtags, for timeline creation Currently using historic/past data Find most temporally significant hashtags Use multiple signals: Twitter search logs + related Wikipedia article popularity Automatic timeline-generation
39 Hashtags + Wikipedia
40 Combining sources CrowdTiles Web + Twitter + Wikipedia Get a sense of what is happening now
41 Observation Different crowds on different sources Two crowds of people Authors/searchers on Twitter Editors/browsers on Wikipedia Correlation between signals from the two crowds People search for what is happening People edit Wikipedia with what is happening Combining and integrating different sources by time
42 The new document New virtual document Time is crosscutting Sources share ts Combine all relevant information News articles on Boston marathon attack Tweet about Boston marathon attack Wikipedia entry on Boston marathon attack Facebook update on Boston marathon attack Quora question on Boston marathon attack April 15 th 2013 time
43 Archiving and looking back News articles & Wikipedia are fine for main events What about stuff that is not so trending? What did people say at the Oscars 2011? Mario Balotelli at Euro 2012
44 Problems Duplicate and near-duplicate detection across sources Temporal summaries Temporal precedence by source Archiving Ranking by temporal value Temporal aware search engines Synchronization and latency Can time help or escape the filter bubble? Evaluation
45 Conclusions Temporal information for organizing content is becoming more important Exciting area for combining different sources Lots of opportunities to improve current search experience Time is a cross-cutting aspect
46 Thank you
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