Unrefereed
Unrefereed papers, such as technical reports and TREC working note papers.
The University of Amsterdam at the TREC 2011 Session Track
0We describe the participation of the University of Amsterdam’s ILPS group in the Session track at TREC 2011.
The stream of interactions created by a user engaging with a search system contains a wealth of information. For retrieval purposes, previous interactions can help inform us about a user’s current More >
Team COMMIT at TREC 2011
0We describe the participation of Team COMMIT in this year’s Microblog and Entity track.
In our participation in the Microblog track, we used a feature-based approach. Specifically, we pursued a precision oriented recency-aware retrieval approach for tweets. Amongst others we used various types of external data. In particular, we More >
DutchHatTrick: Semantic query modeling, ConText, section detection, and match score maximization.
0This report discusses the collaborative work of the ErasmusMC, University of Twente, and the University of Amsterdam on the TREC 2011 Medical track. Here, the task is to retrieve patient visits from the University of Pittsburgh NLP Repository for 35 topics. The repository consists of 101,711 patient reports, More >
Dir 2011: the eleventh Dutch-Belgian information retrieval workshop
0The 11th edition of the annual Dutch-Belgian Information Retrieval workshop (DIR 2011) took place on February 4 in Amsterdam. It was organized by the University of Amsterdam and the Centrum Wiskunde & Informatica. The focus of this year’s workshop was on interaction, with the goal of facilitating and increasing More >
The University of Amsterdam at Trec 2010: Session, Entity, and Relevance Feedback
0We describe the participation of the University of Amsterdam’s ILPS group in the session, entity, and relevance feedback track at TREC 2010. In the Session Track we explore the use of blind relevance feedback to bias a follow-up query towards or against the topics covered in documents returned More >
Heuristic Ranking and Diversification of Web Documents
0We describe the participation of the University of Amsterdam’s Intelligent Systems Lab in the web track at TREC 2009. We participated in the adhoc and diversity task. We find that spam is an important issue in the ad hoc task and that Wikipedia-based heuristic optimization approaches help to boost More >
Topical Diversity and Relevance Feedback
0We describe the participation of the University of Amsterdam’s Intelligent Systems Lab in the relevance feedback track at TREC 2009. Our main conclusion for the relevance feedback track is that a topical diversity approach provides good feedback documents. Further, we find that our relevance feedback algorithm seems to help More >
A Semantic Perspective on Query Log Analysis
0We present our views on the CLEF log file analysis task. We argue for a task definition that focuses on the semantic enrichment of query logs. In addition, we discuss how additional information about the context in which queries are being made could further our understanding of users’ information More >
Incorporating Non-Relevance Information in the Estimation of Query Models
0We describe the participation of the University of Amsterdam’s ILPS group in the relevance feedback track at TREC 2008. We introduce a new model which incorporates information from relevant and non-relevant documents to improve the estimation of query models. Our main findings are twofold: (i) in terms of More >
The University of Amsterdam at Trec 2008
0We describe the participation of the University of Amsterdam’s ILPS group in the blog, enterprise and relevance feedback track at TREC 2008. Our main preliminary conclusions are that estimating mixture weights for external expansion in blog post retrieval is non-trivial and we need more analysis to find out More >