Visualizing implicit queries for information management and retrieval
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
Architecture of a metasearch engine that supports user information needs
Proceedings of the eighth international conference on Information and knowledge management
Term Weighting in Information Retrieval Using the Term Precision Model
Journal of the ACM (JACM)
Analysis of a very large web search engine query log
ACM SIGIR Forum
SearchPad: explicit capture of search context to support Web search
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
WWW '03 Proceedings of the 12th international conference on World Wide Web
Google Hacks: 100 Industrial-Strength Tips and Tools
Google Hacks: 100 Industrial-Strength Tips and Tools
Improving proactive information systems
Proceedings of the 10th international conference on Intelligent user interfaces
Exploring cost-effective approaches to human evaluation of search engine relevance
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Proceedings of the 15th international conference on World Wide Web
Interest-based personalized search
ACM Transactions on Information Systems (TOIS)
Context-Aware, adaptive information retrieval for investigative tasks
Proceedings of the 12th international conference on Intelligent user interfaces
Leveraging semantic technologies for enterprise search
Proceedings of the ACM first Ph.D. workshop in CIKM
Web search personalization with ontological user profiles
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
From Web to Social Web: Discovering and Deploying User and Content Profiles
MedSearch: a specialized search engine for medical information retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
Modeling individual cognitive structure in contextual information retrieval
Computers & Mathematics with Applications
Searching for relevant software change artifacts using semantic networks
Proceedings of the 2009 ACM symposium on Applied Computing
Using NavCon for conceptual navigation in web documents
International Journal of Advanced Media and Communication
Context-based online medical terminology navigation
Expert Systems with Applications: An International Journal
Navegaçao conceitual em ambientes de gestao do conhecimento usando NavCon
Proceedings of the 14th Brazilian Symposium on Multimedia and the Web
Vlogging: A survey of videoblogging technology on the web
ACM Computing Surveys (CSUR)
Similarity measurement in context
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Conceptual navigation in knowledge management environments using NavCon
Information Processing and Management: an International Journal
First query term extraction from current webpage for mobile applications
Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia
Information at your fingertips: contextual IR in enterprise email
Proceedings of the 16th international conference on Intelligent user interfaces
Do you know dis?: a user study of a knowledge discovery tool for organizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Searching for software learning resources using application context
Proceedings of the 24th annual ACM symposium on User interface software and technology
Identifying content for planned events across social media sites
Proceedings of the fifth ACM international conference on Web search and data mining
Keeping Found Things Found: The Study and Practice of Personal Information Management: The Study and Practice of Personal Information Management
Anticipatory search: using context to initiate search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 20th ACM international conference on Multimedia
Relevance ranking metrics for learning objects
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
SidePoint: a peripheral knowledge panel for presentation slide authoring
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social influence analysis and application on multimedia sharing websites
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
Survey of social search from the perspectives of the village paradigm and online social networks
Journal of Information Science
Hi-index | 0.02 |
Contextual search tries to better capture a user's information need by augmenting the user's query with contextual information extracted from the search context (for example, terms from the web page the user is currently reading or a file the user is currently editing).This paper presents Y!Q---a first of its kind large-scale contextual search system---and provides an overview of its system design and architecture. Y!Q solves two major problems. First, how to capture high quality search context. Second, how to use that context in a way to improve the relevancy of search queries. To address the first problem, Y!Q introduces an information widget that captures precise search context and provides convenient access to its functionality at the point of inspiration. For example, Y!Q can be easily embedded into web pages using a web API, or it can be integrated into a web browser toolbar. This paper provides an overview of Y!Q's user interaction design, highlighting its novel aspects for capturing high quality search context.To address the second problem, Y!Q uses a semantic network for analyzing search context, possibly resolving ambiguous terms, and generating a contextual digest comprising its key concepts. This digest is passed through a query planner and rewriting framework for augmenting a user's search query with relevant context terms to improve the overall search relevancy and experience. We show experimental results comparing contextual Y!Q search results side-by-side with regular Yahoo! web search results. This evaluation suggests that Y!Q results are considered significantly more relevant.The paper also identifies interesting research problems and argues that contextual search may represent the next major step in the evolution of web search engines.