Recommendation of optimized information seeking process based on the similarity of user access behavior patterns

Differing from many studies of recommendation that provided the final results directly, our study focuses on providing an optimized process of information seeking to users. Based on process mining, we propose an integrated adaptive framework to support and facilitate individualized recommendation based on the gradual adaptation model that gradually adapts to a target user’s transition of needs and behaviors of information access, including various search-related activities, over different time spans. In detail, successful information seeking processes are extracted from the information seeking histories of users. Furthermore, these successful information seeking processes are optimized as a series of action units to support the target users whose information access behavior patterns are similar to the reference users. Based on these, the optimized information seeking processes are navigated to the target users according to their transitions of interest focus. In addition to describing some definitions and measures introduced, we go further to present an optimized process recommendation model and show the system architecture. Finally, we discuss the simulation and scenario for the proposed system.

[1]  Boudewijn F. van Dongen,et al.  A Meta Model for Process Mining Data , 2005, EMOI-INTEROP.

[2]  Alexander L. Wolf,et al.  Discovering models of software processes from event-based data , 1998, TSEM.

[3]  Vitaly Klyuev,et al.  Semantic retrieval: an approach to representing, searching and summarising text documents , 2011, Int. J. Inf. Technol. Commun. Convergence.

[4]  Evgeny Pyshkin,et al.  How to improve the search quality for various types of information , 2011 .

[5]  Wil M.P. van der Aalst,et al.  Process Mining Put into Context , 2012, IEEE Internet Computing.

[6]  Ricardo Baeza-Yates,et al.  Query-sets: using implicit feedback and query patterns to organize web documents , 2008, WWW.

[7]  K. Kuutti.  Activity theory as a potential framework for human-computer interaction research , 1995 .

[8]  Wil M. P. van der Aalst,et al.  Process Mining - Discovery, Conformance and Enhancement of Business Processes , 2011 .

[9]  Harold V. King.  Foreign Language Reading as a Learning Activity , 1947 .

[10]  Wil M. P. van der Aalst,et al.  Business alignment: using process mining as a tool for Delta analysis and conformance testing , 2005, Requirements Engineering.

[11]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[12]  Ryen W. White,et al.  Mining the search trails of surfing crowds: identifying relevant websites from user activity , 2008, WWW.

[13]  Y. Shoham,et al.  Ecom Syst Content-based, Collaborative Recommendation , 1997 .

[14]  MAGDALINI EIRINAKI,et al.  Web mining for web personalization , 2003, TOIT.

[15]  Chih-Ming Chen,et al.  Intelligent web-based learning system with personalized learning path guidance , 2008, Comput. Educ..

[16]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[17]  Andreas Hotho,et al.  Semantic Web Mining: State of the art and future directions , 2006, J. Web Semant..

[18]  Wil M. P. van der Aalst,et al.  The Application of Petri Nets to Workflow Management , 1998, J. Circuits Syst. Comput..

[19]  Qun Jin,et al.  A human-centric integrated approach to web information search and sharing , 2011, Human-centric Computing and Information Sciences.

[20]  Umeshwar Dayal,et al.  From User Access Patterns to Dynamic Hypertext Linking , 1996, Comput. Networks.

[21]  Fabrizio Silvestri,et al.  An Online Recommender System for Large Web Sites , 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

[22]  Olivia R. Liu Sheng,et al.  LinkSelector: A Web mining approach to hyperlink selection for Web portals , 2004, TOIT.

[23]  F. BRUCE SANFORD,et al.  Information Explosion , 1970, Nature.

[24]  Kuei-Fang Hsiao,et al.  Integrating body language movements in augmented reality learning environment , 2011, Human-centric Computing and Information Sciences.

[25]  Dimitrios Gunopulos,et al.  Mining Process Models from Workflow Logs , 1998, EDBT.