Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Using WordNet to disambiguate word senses for text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Novelty and redundancy detection in adaptive filtering
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Information navigation on the web by clustering and summarizing query results
Information Processing and Management: an International Journal
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Personalized Web Search For Improving Retrieval Effectiveness
IEEE Transactions on Knowledge and Data Engineering
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Further Experiments on Collaborative Ranking in Community-Based Web Search
Artificial Intelligence Review
CubeSVD: a novel approach to personalized Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
A Concept-Driven Algorithm for Clustering Search Results
IEEE Intelligent Systems
Improving web search results using affinity graph
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Word sense disambiguation in queries
Proceedings of the 14th ACM international conference on Information and knowledge management
Implicit user modeling for personalized search
Proceedings of the 14th ACM international conference on Information and knowledge management
Relevance judgment: What do information users consider beyond topicality?
Journal of the American Society for Information Science and Technology - Research Articles
Interest-based personalized search
ACM Transactions on Information Systems (TOIS)
SenseRelate::TargetWord: a generalized framework for word sense disambiguation
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
A statistical framework for query translation disambiguation
ACM Transactions on Asian Language Information Processing (TALIP)
Personalized query expansion for the web
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Generalizing from relevance feedback using named entity wildcards
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
'Show me more': Incremental length summarisation using novelty detection
Information Processing and Management: an International Journal
To personalize or not to personalize: modeling queries with variation in user intent
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Ambiguous queries: test collections need more sense
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Complex adaptive filtering user profile using graphical models
Information Processing and Management: an International Journal
An interaction framework for mobile web search
Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
Proceedings of the Second ACM International Conference on Web Search and Data Mining
An axiomatic approach for result diversification
Proceedings of the 18th international conference on World wide web
Patterns of query reformulation during Web searching
Journal of the American Society for Information Science and Technology
Learning to Disambiguate Search Queries from Short Sessions
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Hierarchical-Hyperspherical Divisive Fuzzy C-Means (H2D-FCM) Clustering for Information Retrieval
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Redundancy, diversity and interdependent document relevance
ACM SIGIR Forum
Query Disambiguation Based on Novelty and Similarity User's Feedback
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
How are we searching the World Wide Web? A comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
An analysis of query similarity in collaborative web search
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Discovering and analyzing multi-granular web search results
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Expert Systems with Applications: An International Journal
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In this paper, we face the so called ''ranked list problem'' of Web searches, that occurs when users submit short requests to search engines. Generally, as a consequence of terms' ambiguity and polysemy, users engage long cycles of query reformulation in an attempt to capture relevant information in the top ranked results. The overall objective of the proposal is to support the user in optimizing Web searches, by reducing the need for long search iterations. Specifically, in this paper we describe an iterative query disambiguation mechanism that follows three main phases. (1) The results of a Web search performed by the user (by submitting a query to a search engine) are clustered. (2) Clusters are ranked, based on a personalized balance of their content-similarity to the query and their novelty. (3) From each cluster, a disambiguated query that highlights the main contents of the cluster is generated, in such a way the new query is potentially capable to retrieve new documents, not previously retrieved; the disambiguated queries are suggestions for possibly new and more focused searches. The paper describes the proposal, illustrating a sample application of the mechanism. Finally, the paper presents a user's evaluation experiment of the proposed approach, comparing it with common practice based on the direct use of search engines.