Modelling Users’ Profiles and Interests based on Cross-Folksonomy Analysis @ HT2009
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Invited talk at the ACM Hypertext Conference 2009, Turin, Italy
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Modelling Users’ Profiles and Interests based on Cross-Folksonomy Analysis @ HT2009
- 1. TAGora: Semiotic Dynamics of Online Social Communities EU-IST-2006-034721 Modelling Users’ Profiles and Interests based on Cross-Folksonomy Analysis Martin Szomszor University of Southampton
- 3. Introduction Dream Theater Metallica Rush delicious.com http://slashdot.org/ http://news.bbc.co.uk/
- 6. The Big Picture Profile of Interests delicious.com
- 7. Personalisation Profiles could be exported to other sites to improve recommendation quality Profile of Interests Profiles could be used to support personalised searching Better user experience delicious.com
- 8. Consolidation and Integration currency travel hotels cuba http://dbpedia.org/resource/Cuba cuba holiday 2008 http://dbpedia.org/resource/Travel http://dbpedia.org/resource/Holiday http://dbpedia.org/resource/Category:Tourism
- 9. Tagging Variation [1] Szomszor, M., Cantador, I. and Alani, H. (2008). Correlating User Profiles from Multiple Folksonomies . In: ACM Conference on Hypertext and Hypermedia, 2008 , Pittsburgh, Pennsylvania. Raw Tags Filtered Tags
- 10. Disconnected Identities fan of contact friend friend #me
- 11. Making Sense of Folksonomies Delicious Last.fm Flickr Facebook Identity Integration Tag Integration Tagging Semantics … FOAF DBpedia + Wordnet
- 12. 1. Contact Integration Delicious Last.fm Identity Integration Tag Integration Tagging Semantics … FOAF DBpedia + Wordnet Flickr Facebook
- 15. http://tagora.ecs.soton.ac.uk/facebook/613077109 http://tagora.ecs.soton.ac.uk/LiveSocialSemantics/ht2009/foaf/4 <owl#sameAs> <http://tagora.ecs.soton.ac.uk/facebook/613077109> <http://tagora.ecs.soton.ac.uk/schemas/facebook#hasFriend> <http://tagora.ecs.soton.ac.uk/facebook/1006466985>, <http://tagora.ecs.soton.ac.uk/facebook/684541156>, … <http://tagora.ecs.soton.ac.uk/facebook/1043367866>; FOAF Representation of SNS Accounts http://tagora.ecs.soton.ac.uk/delicious/martinszomszor http://tagora.ecs.soton.ac.uk/flickr/7214044@N08 http://tagora.ecs.soton.ac.uk/lastfm/mszomszor
- 16. 2. Tag Integration Delicious Last.fm Flickr Facebook Identity Integration Tag Integration Tagging Semantics … FOAF DBpedia + Wordnet
- 17. Folksonomy Integration Tag Heterogeneity Web2.0 Web_2.0 !=
- 18. Folksonomy Integration: Tag Heterogeneity Web2.0 Web_2.0 isFilteredTo
- 20. http://tagora.ecs.soton.ac.uk/ schemas /tagging# http://www.w3.org/2001/XMLSchema# (f) = functional property property subclass hasUserFrequency hasGlobalFrequency hasDomainFrequency rdfs:label hasCooccurrenceInfo hasCooccurrenceFrequency cooccurringTag hasPost taggedResource isFilteredTo hasNextSegment (f) hasTagSequence (f) tagUsed (f) taggedOn xsd:integer xsd:integer xsd:integer xsd:string xsd:integer xsd:datetime hasGlobalTag hasDomainTag UserTag DomainTag GlobalTag usesTag Tag Tagger Post Resource TagSegment FinalTagSegment CooccurrencInfo
- 21. Linked Data View
- 22. Linked Data View
- 23. Linked Data View
- 24. Linked Data View
- 25. Finding Syntactic Variations sparql$ select ?x where { ?x <http://tagora.ecs.soton.ac.uk/schemas/tagging#isFilteredTo> <http://tagora.ecs.soton.ac.uk/tag/web_2.0>} ┌─────────────────────────────────────────────┐ │ ?x │ ├─────────────────────────────────────────────┤ │ <http://tagora.ecs.soton.ac.uk/tag/web2.0> │ │ <http://tagora.ecs.soton.ac.uk/tag/web2> │ │ <http://tagora.ecs.soton.ac.uk/tag/web_2.0> │ │ <http://tagora.ecs.soton.ac.uk/tag/web_20> │ │ <http://tagora.ecs.soton.ac.uk/tag/web20> │ └─────────────────────────────────────────────┘ sparql$ select * where { ?x <http://tagora.ecs.soton.ac.uk/schemas/tagging#isFilteredTo> <http://tagora.ecs.soton.ac.uk/tag/second_life>} ┌───────────────────────────────────────────────────┐ │ ?x │ ├───────────────────────────────────────────────────┤ │ <http://tagora.ecs.soton.ac.uk/tag/second_Life> │ │ <http://tagora.ecs.soton.ac.uk/tag/second.life> │ │ <http://tagora.ecs.soton.ac.uk/tag/SecondLife> │ │ <http://tagora.ecs.soton.ac.uk/tag/Second_Life> │ │ <http://tagora.ecs.soton.ac.uk/tag/second%20life> │ │ <http://tagora.ecs.soton.ac.uk/tag/SECOND_LIFE> │ │ <http://tagora.ecs.soton.ac.uk/tag/second_life> │ │ <http://tagora.ecs.soton.ac.uk/tag/secondlife> │ └───────────────────────────────────────────────────┘
- 27. Disambiguation Ontology http://tagora.ecs.soton.ac.uk/ schemas /tagging# http://www.w3.org/2001/XMLSchema# (f) = functional property property subclass http://tagora.ecs.soton.ac.uk/ schemas /dbpedia# http://tagora.ecs.soton.ac.uk/ schemas /disambiguation# senseWeight dbpediaSense hasDbpediaSenseInfo didYouMean Resource DbpediaSenseInfo xsd:float http://www.w3.org/2006/03/wn/wn20/schema/ hasWordnetSense WordSense Tag
- 32. FinalCompoundLabelSequence hasCompoundLabelSequence (f) hasNextLabelSequence (f) hasCompoundLabel (f) isa hasLabel hasNormalisedLabel hasConcatenatedLabel hasDisambiguationTerm hasTermFrequencyPair hasTerm hasTermFrequency hasDisambiguation hasPrimaryDisambiguation hasTotalTermFrequency hasTotalTerms CompoundLabelSequence Resource xsd:integer xsd:integer xsd:integer xsd:string xsd:string xsd:string xsd:string xsd:string xsd:string TermFrequencyPair
- 33. Profiles of Interests [2] Szomszor, M., Alani, H., Cantador, I., O'Hara, K. and Shadbolt, N. (2008) Semantic Modelling of User Interests based on Cross-Folksonomy Analysis. In: 7th International Semantic Web Conference (ISWC), October 26th - 30th, Karlsruhe, Germany.
- 38. http://tagora.ecs.soton.ac.uk/tag/apple http://tagora.ecs.soton.ac.uk/dbpedia/resource/Apple_Inc. http://tagora.ecs.soton.ac.uk/tag/apple/sense-info/0 0.30628910807 _:b9510f00000000a5 “ mac” 35 dbpedia:hasTermFrequency dbpedia:hasTerm dbpedia:hasTermFrequencyPair dbpedia:hasDbpediaSenseInfo dbpedia:sense dbpedia:senseWeight http://tagora.ecs.soton.ac.uk/dbpedia/resource/Apple http://tagora.ecs.soton.ac.uk/tag/apple/sense-info/1 0.248912928 _:b9510f00000000a5 “ fruit” 41 dbpedia:hasTermFrequency dbpedia:hasTerm dbpedia:hasTermFrequencyPair dbpedia:sense dbpedia:senseWeight owl:sameAs owl:sameAs
Notas del editor
- This is preliminary research so there are many gaps to be filled and much future work to be done.
- This is a snapshot of how I participate in the World of Web 2.0 I bookmark pages in delicious, record my listening habits in last.fm and publish my photos using flickr
- One important trend that we can observe is that it’s Increasingly common for users to maintain a profile in multiple social networking sites. Ofcom published April 2, survey carried out September – October 2007 Number of profiles significantly higher for under 21’s If you participate in such sites, your are likely to have multiple profiles. This is intuitive - People realise the benefits quickly and often signup to other sites to meet difference requirements.
- Overtime, the cumulative frequencies of the tags you use can be represented with a tag-cloud. This gives a visual snapshot of the terms that you use most frequently. When we began this work, the first thing we did was develop a tool For viewing tag clouds from multiple domains. We noticed that many tags represented concepts that could be considered Interests of the users. Hence, the motivation for our work is to exploit this tagging
- This is a representation of where we’re heading with this work. The activity elicited from each of the individual’s accounts tells us something different about their interests: Technorati and delicious highlight areas of interest on the web flickr and facebook tell us about the events and places the person has been imdb and last.fm givess with knowledge of the user’s music listening and movie watching habits
- We believe that providing such profiles of interest could help with Recommendation: You could image providing your profiles to a Site like Amazon so they can give you better recommendations Such profiles could also be used to personalise searching It’s all about providing users with a better experience without An overhead. Our idea is that this should happen automatically
- Another motivation for this work is for consolidation and integration. People have information distributed across different sites and it Would be helpful to support them with an integrated view of this information. There are often activities in different sites that could be related via A common event or interest.
- In the field of folksonomy analysis, it’s also important to consider the syntactic Habits of tagging In previous xfolksonony work, we discovered that tagging habits can be quite erratic people use singular / plural / gerrand form compound nouns may be formed using _ - or nospace synonyms can be used misspellings also common
- This is more of an observation than an evaluation Wanted to understand what kinds of interests can be extracted from delicious and flickr and how they differ. This is a nice result because it reflects our intuition about what we can learn from Each domain