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Context modelling for situation-sensitive recommendations
S. Whiting
and
Jose, J.
,
“
Context modelling for situation-sensitive recommendations
”
, in
Proceedings of the 9th international conference on Flexible Query Answering Systems
, Berlin, Heidelberg, 2011, pp. 376–387.
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Categorising social tags to improve folksonomy-based recommendations
I. Cantador
,
Konstas, I.
, and
Jose, J. M.
,
“
Categorising social tags to improve folksonomy-based recommendations
”
,
Web Semant.
, vol. 9, pp. 1–15, 2011.
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about Categorising social tags to improve folksonomy-based recommendations
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Study of context influence on classifiers trained under different video-document representations
P. Bermejo
,
Joho, H.
,
Jose, J. M.
, and
Villa, R.
,
“
Study of context influence on classifiers trained under different video-document representations
”
,
Information Processing & Management
, vol. 47, pp. 215 - 226, 2011.
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Role of emotional features in collaborative recommendation
Y. Moshfeghi
and
Jose, J. M.
,
“
Role of emotional features in collaborative recommendation
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, in
Proceedings of the 33rd European conference on Advances in information retrieval
, Berlin, Heidelberg, 2011, pp. 738–742.
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Navigating the user query space
R. Cummins
,
Lalmas, M.
,
O'Riordan, C.
, and
Jose, J. M.
,
“
Navigating the user query space
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, in
Proceedings of the 18th international conference on String processing and information retrieval
, Berlin, Heidelberg, 2011, pp. 380–385.
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Handling data sparsity in collaborative filtering using emotion and semantic based features
Y. Moshfeghi
,
Piwowarski, B.
, and
Jose, J. M.
,
“
Handling data sparsity in collaborative filtering using emotion and semantic based features
”
, in
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
, New York, NY, USA, 2011, pp. 625–634.
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Improved query performance prediction using standard deviation
R. Cummins
,
Jose, J.
, and
O'Riordan, C.
,
“
Improved query performance prediction using standard deviation
”
, in
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
, New York, NY, USA, 2011, pp. 1089–1090.
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When Index Term Probability
M. Melucci
,
“
When Index Term Probability
”
,
CoRR
, vol. abs/1203.2569, 2012.
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about When Index Term Probability
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Contextual Search: A Computational Framework
M. Melucci
,
“
Contextual Search: A Computational Framework
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,
Foundations and Trends in Information Retrieval
, vol. 6, pp. 257-405, 2012.
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Envisioning Dynamic Quantum Clustering in Information Retrieval
E. Di Buccio
and
Di Nunzio, {G. M. }
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Envisioning Dynamic Quantum Clustering in Information Retrieval
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, in
QI
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Distilling Relevant Documents by Means of Dynamic Quantum Clustering
E. Di Buccio
and
Di Nunzio, {G. M. }
,
“
Distilling Relevant Documents by Means of Dynamic Quantum Clustering
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, in
ICTIR
, 2011, pp. 360-363.
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Navigating the User Query Space
R. Cummins
,
Lalmas, M.
,
O'Riordan, C.
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Jose, J. M.
,
“
Navigating the User Query Space
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SPIRE
, 2011, pp. 380-385.
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Context Modelling for Situation-Sensitive Recommendations
S. Whiting
and
Jose, J. M.
,
“
Context Modelling for Situation-Sensitive Recommendations
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FQAS
, 2011, pp. 376-387.
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about Context Modelling for Situation-Sensitive Recommendations
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Temporal Pseudo-relevance Feedback in Microblog Retrieval
S. Whiting
,
Klampanos, I. A.
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Jose, J. M.
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“
Temporal Pseudo-relevance Feedback in Microblog Retrieval
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ECIR
, 2012, pp. 522-526.
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A study of awareness in multimedia search
R. Villa
and
Jose, J. M.
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A study of awareness in multimedia search
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,
Inf. Process. Manage.
, vol. 48, pp. 32-46, 2012.
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about A study of awareness in multimedia search
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Summarize What You Are Interested In: An Optimization Framework for Interactive Personalized Summarization
R. Yan
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Nie, J. - Y.
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Li, X.
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Summarize What You Are Interested In: An Optimization Framework for Interactive Personalized Summarization
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EMNLP
, 2011, pp. 1342-1351.
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Exploring categorization property of social annotations for information retrieval
P. Li
,
Wang, B.
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Jin, W.
,
Nie, J. - Y.
,
Shi, Z.
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He, B.
,
“
Exploring categorization property of social annotations for information retrieval
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, in
CIKM
, 2011, pp. 557-562.
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A split-list approach for relevance feedback in information retrieval
H. C. Wu
,
Luk, R. W. P.
,
Wong, K. - F.
, and
Nie, J. - Y.
,
“
A split-list approach for relevance feedback in information retrieval
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Inf. Process. Manage.
, vol. 48, pp. 969-977, 2012.
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Modelling Word Meaning using Efficient Tensor Representations
M. Symonds
,
Bruza, P.
,
Sitbon, L.
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Turner, I.
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Modelling Word Meaning using Efficient Tensor Representations
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, in
PACLIC
, 2011, pp. 313-322.
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The Quantum Inspired Modelling of Changing Attitudes and Self-organising Societies
K. Kitto
,
Boschetti, F.
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Bruza, P.
,
“
The Quantum Inspired Modelling of Changing Attitudes and Self-organising Societies
”
, in
QI
, 2012, pp. 1-12.
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