Personalized recommendation of related content based on automatic metadata extraction

ABSTRACT

In order to efficiently use information, users often need access to additional background information. This additional information might be stored at various places, such as news websites, company directories, geographic information systems, etc. Oftentimes, in order to access these different pieces of information, the user has to launch new browser windows and direct them to appropriate resources. In our today's Web 2.0, the problem of accessing background information becomes even more prominent: Due to the large number of different users contributing, Web 2.0 sites grow quickly and, most often, in a more uncoordinated way regarding, e.g., structure and vocabulary used, than centrally controlled sites. In such an environment, finding relevant information can become a tedious task.

In this paper, we propose a framework allowing for automated, user-specific annotation of content in order to enable provisioning of related information. Making use of unstructured data analysis services like UIMA or Calais, we are able to identify certain types of entities like locations, persons, etc. These entities are wrapped into semantic tags that contain machine-readable information about the entity type. The entity types are associated with applications able to provide background information or related content. A location, e.g., could be associated with Google Maps, whereas a person could be associated with the company's employee directory. However, it strongly depends on the individual user's interests and experience which additional information he deems relevant. We therefore tailor the information provided based on the User Model, which reflects the user's interests and expertise. This allows providing the user with in-place, in-context background information on those entities he is likely to be interested in as well as with recommendations to related content for those entities. It also relieves users from the tedious task of manually collecting relevant additional information.

Our main concepts have been prototypically embedded within IBM's WebSphere Portal.

REFERENCES

• 1: Palakorn Achananuparp , Hyoil Han , Olfa Nasraoui , Roberta Johnson, Semantically enhanced user modeling, Proceedings of the 2007 ACM symposium on Applied computing, March 11-15, 2007, Seoul, Korea [doi>10.1145/1244002.1244291]
• 2: A. Gómez-Pérez and. Ontological Engineering. Advanced Information and Knowlege Processing. Springer, 2003.
• 3: Anupriya Ankolekar , Denny Vrandečić, Kalpana - enabling client-side web personalization, Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, June 19-21, 2008, Pittsburgh, PA, USA [doi>10.1145/1379092.1379100]
• 4: Peter Brusilovsky and Eva Millän. User models for adaptive hypermedia and adaptive educational systems. In Peter Brusilovsky, Alfred Kobsa, and Wolfgang Nejdl, editors, The Adaptive Web: Methods and Strategies of Web Personalization, volume 4321 of Lecture Notes in Computer Science, chapter 1, pages 3--53. Springer, Berlin, Heidelberg, 2007.
• 5: Paul - Alexandru Chirita , Stefania Costache , Wolfgang Nejdl , Siegfried Handschuh, P-TAG: large scale automatic generation of personalized annotation tags for the web, Proceedings of the 16th international conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada [doi>10.1145/1242572.1242686]
• 6: Corporate Act-Net Consortium, The active database management system manifesto: a rulebase of ADBMS features, ACM SIGMOD Record, v.25 n.3, p.40-49, Sept. 1996 [doi>10.1145/234889.234896]
• 7: Stephen Dill , Nadav Eiron , David Gibson , Daniel Gruhl , R. Guha , Anant Jhingran , Tapas Kanungo , Sridhar Rajagopalan , Andrew Tomkins , John A. Tomlin , Jason Y. Zien, SemTag and seeker: bootstrapping the semantic web via automated semantic annotation, Proceedings of the 12th international conference on World Wide Web, May 20-24, 2003, Budapest, Hungary [doi>10.1145/775152.775178]
• 8: M. Erdmann, A. Maedche, H. Schnurr, and S. Staab. From manual to semi-automatic semantic annotation: About ontology-based text annotation tools, 2000.
• 9: Siegfried Handschuh , Steffen Staab, Authoring and annotation of web pages in CREAM, Proceedings of the 11th international conference on World Wide Web, May 07-11, 2002, Honolulu, Hawaii, USA [doi>10.1145/511446.511506]
• 10: Siegfried Handschuh , Steffen Staab , Raphael Volz, On deep annotation, Proceedings of the 12th international conference on World Wide Web, May 20-24, 2003, Budapest, Hungary [doi>10.1145/775152.775214]
• 11: José Kahan, Marja-Riitta Koivunen, Eric Prud'hommeaux, and Ralph R. Swick. Annotea: an open rdf infrastructure for shared web annotations. Computer Networks, 39(5):589--608, 2002.
• 12: Alenka Kavcic. Fuzzy user modeling for adaptation in educational hypermedia. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 34(4):439--449, Nov. 2004.
• 13: Maurice D. Mulvenna , Sarabjot S. Anand , Alex G. Büchner, Personalization on the Net using Web mining: introduction, Communications of the ACM, v.43 n.8, p.122-125, Aug. 2000 [doi>10.1145/345124.345165]
• 14: Andreas Nauerz, Michael Juninger, and Shiwan Zhao. A recommender based on automatic metadata extraction and user-driven collaborative annotating. In ReColl'2008: International Workshop on Recommendation and Collaboration, 2008.
• 15: Andreas Nauerz, Stefan Pietschmann, Rene Pietzsch, and Shiwan Zhao. A framework for tag-based adaptation in web portals. In WWW, 2008.
• 16: Natalya F. Noy , Michael Sintek , Stefan Decker , Monica Crubézy , Ray W. Fergerson , Mark A. Musen, Creating Semantic Web Contents with Protégé-2000, IEEE Intelligent Systems, v.16 n.2, p.60-71, March 2001 [doi>10.1109/5254.920601]
• 17: Ce'lia Da Costa Pereira and Andrea Tettamanzi. An evolutionary approach to ontology-based user model acquisition. In Vito Di Gesu', Francesco Masulli, and Alfredo Petrosino, editors, WILF, volume 2955 of Lecture Notes in Computer Science, pages 25--32. Springer, 2003.
• 18: Arnaud Sahuguet , Fabien Azavant, Looking at the Web through XML Glasses, Proceedings of the Fourth IECIS International Conference on Cooperative Information Systems, p.148, September 02-04, 1999
• 19: S. Staab, A. Maedche, and S. Handschuh. An annotation framework for the semantic web, 2001.
• 20: James Surowiecki. The wisdom of crowds. American Journal of Physics, 75(2):190--192, February 2007.
• 21: Hsin-Chang Yang, Bridging the WWW to the Semantic Web by Automatic Semantic Tagging of Web Pages, Proceedings of the The Fifth International Conference on Computer and Information Technology, p.238-242, September 21-23, 2005 [doi>10.1109/CIT.2005.81]
• 22: L. A. Zadeh. Fuzzy sets. Information and Control, 8(3):338--353, June 1965.
• 23: Lei Zhang , Yong Yu, Learning to Generate CGs from Domain Specific Sentences, Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base, p.44-57, July 30-August 03, 2001

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.5 On-line Information Services
          Subjects: Web-based services

General Terms:
Design