Toward a theory of user-based relevance: a call for a new paradigm of inquiry
Journal of the American Society for Information Science - Special issue: relevance research
User interactions with everyday applications as context for just-in-time information access
Proceedings of the 5th international conference on Intelligent user interfaces
On Interfaces for Mobile Information Retrieval
Mobile HCI '02 Proceedings of the 4th International Symposium on Mobile Human-Computer Interaction
Situation-Aware Personalized Information Retrieval for Mobile Internet
COMPSAC '03 Proceedings of the 27th Annual International Conference on Computer Software and Applications
How users assess web pages for information seeking
Journal of the American Society for Information Science and Technology
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Anonymous personalization in collaborative web search
Information Retrieval
Gender and Web information seeking: A self-concept orientation model: Research Articles
Journal of the American Society for Information Science and Technology
Effective search results summary size and device screen size: is there a relationship?
Information Processing and Management: an International Journal
Determining the user intent of web search engine queries
Proceedings of the 16th international conference on World Wide Web
Context-Aware Query Refinement for Mobile Web Search
SAINT-W '07 Proceedings of the 2007 International Symposium on Applications and the Internet Workshops
Deciphering Trends in Mobile Search
Computer
Effects of emotion control and task on Web searching behavior
Information Processing and Management: an International Journal
Evaluation of a mobile information system in context
Information Processing and Management: an International Journal
Users' evaluation of digital libraries (DLs): Their uses, their criteria, and their assessment
Information Processing and Management: an International Journal
A diary study of mobile information needs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Activity-based serendipitous recommendations with the Magitti mobile leisure guide
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The role of context in query input: using contextual signals to complete queries on mobile devices
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
Who, what, where & when: a new approach to mobile search
Proceedings of the 13th international conference on Intelligent user interfaces
Mobile User Profile Acquisition through Network Observables and Explicit User Queries
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
Representing complex temporal phenomena for the semantic web and natural language
Representing complex temporal phenomena for the semantic web and natural language
A session based personalized search using an ontological user profile
Proceedings of the 2009 ACM symposium on Applied Computing
Evaluation of contextual information retrieval effectiveness: overview of issues and research
Knowledge and Information Systems
Contextual search using ontology-based user profiles
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Mobile user personalization with dynamic profiles: time and activity
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
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The mobile user differs from the desktop user in that his handheld device is truly personal. It roams with him and allows him access to information at any time from anywhere. Contextual information access in mobile environments aims to tackle the problem of information overload by providing appropriate results according to the resource constraints on the one hand and user's location, time and interests on the other hand. In this paper, we describe a general approach for building a context-aware user profile for a mobile user for search engines using evidence issued from retrieval situations. The basic idea is to learn the user's interests for each user's situation. A situation refers to an aggregation of the spatio-temporel context within his past search activities. User's interests are inferred from past search activities related to the identified situations.