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
A probabilistic model of information retrieval: development and comparative experiments Part 2
Information Processing and Management: an International Journal
Advances in Informational Retrieval: Recent Research from the Center for Intelligent Information Retrieval
ACM SIGIR Forum
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
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
Less is more: probabilistic models for retrieving fewer relevant documents
SIGIR '06 Proceedings of the 29th 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
Novelty and diversity in information retrieval evaluation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Are concepts useful for organizing search results?
BCS-HCI '08 Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction - Volume 2
What Else Is There? Search Diversity Examined
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Work in progress: effects of multiple words on ambiguity in information retrieval
Proceedings of the 46th Annual Southeast Regional Conference on XX
An Effectiveness Measure for Ambiguous and Underspecified Queries
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Building a framework for the probability ranking principle by a family of expected weighted rank
ACM Transactions on Information Systems (TOIS)
Exploiting query reformulations for web search result diversification
Proceedings of the 19th international conference on World wide web
Selectively diversifying web search results
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Implicit association via crowd-sourced coselection
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Intent-aware search result diversification
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
On the suitability of diversity metrics for learning-to-rank for diversity
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
How diverse are web search results?
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Aggregated search result diversification
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Explicit search result diversification through sub-queries
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
On the role of novelty for search result diversification
Information Retrieval
Measuring the coverage and redundancy of information search services on e-commerce platforms
Electronic Commerce Research and Applications
SkyDiver: a framework for skyline diversification
Proceedings of the 16th International Conference on Extending Database Technology
Learning to rank query suggestions for adhoc and diversity search
Information Retrieval
Mining subtopics from different aspects for diversifying search results
Information Retrieval
Aggregated search: A new information retrieval paradigm
ACM Computing Surveys (CSUR)
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Retrieval system experimentation has assumed that user requests represent a single information need. The problem is identifying and meeting this need. Search engine experience demonstrates that this assumption is far from holding in the real world. Responding appropriately to this fact raises new issues for research on retrieval system theory, design, and evaluation.