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Personalization

DB. WWW. User Models. Personalization. Traditional System. Personalized System. 3. User/Profile Detection. User Profiling. Content Personalization. Presentation Personalization. ooo. Content. Presentation. ooo. 2. User Profiles. 1. DB. WWW. Context Models.

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Personalization

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  1. DB WWW User Models Personalization Traditional System Personalized System 3 User/ProfileDetection UserProfiling Content Personalization Presentation Personalization ooo Content Presentation ooo 2 User Profiles 1

  2. DB WWW Context Models Contextualization Traditional System Contextualized System 3 Context/ProfileDetection ContextProfiling Content Contextualization Presentation Contextualization ooo Content Presentation ooo 2 Context Profiles 1

  3. 3 User/ProfileDetection UserProfiling Content Personalization Presentation Personalization ooo Content Presentation ooo 2 User profiles DB WWW Models 1 Models • Characteristics captured in Models are tied to the • features of DMSs being personalized • Query structures • Search patterns • Similarity measures • Optimization dimensions, risk-averseness • The work done in the context of Information • Retrieval Systems or the web not enough

  4. 3 User/ProfileDetection Profiling Content Personalization Presentation Personalization ooo Content Presentation ooo 2 Profiles DB WWW Models 1 Profiling • Specialized data mining • Specific Profiling techniques • particularly suited for populating • User Models for DMSs • Can db usage logs be mined in • the same ways as logs from, • say, web usage?

  5. UserProfiling 2 User profiles DB WWW Models 1 Detection and Use • Particular uses of profiles in • DM envs not found in other • apps • Query opt affected by • profiles: both processes • need reconsideration • Personalized queries • amenable to special • processing • Any particular difficulties • in context detection in DMS? 3 Detection ooo Content ……alization ooo Content Profiles

  6. 3 User/ProfileDetection UserProfiling Content Personalization Presentation Personalization ooo Content Presentation ooo 2 User profiles DB WWW Models 1 DM Technology Contributions • Traditional data management technologies has much • to offer that might be useful for general issues of • personalization/contextualization • Specialized indexing or stream mgmt for massive web-based recommendations • Heterogeneous profile integration • Several things are not in the hands • of AI, the semantic web, etc.

  7. 3 User/ProfileDetection UserProfiling Content Personalization Presentation Personalization ooo Content Presentation ooo 2 User profiles DB WWW Models 1 Personalization/Contextualizationin New DM Environments • Exciting times and research opportunities for DM • Major changes in computing environments • Huge amounts and great diversity of data • Innovative applications • Important role of personalization/contextualization

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