SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
120
Voted
SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
Methods for fusing document lists that were retrieved in response to a query often use retrieval scores (or ranks) of documents in the lists. We present a novel probabilistic fusi...
160
Voted
SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
Using relevance feedback can significantly improve (ad hoc) retrieval effectiveness. Yet, if little feedback is available, effectively exploiting it is a challenge. To that end,...
148
Voted
SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
The assumptions underlying the Probability Ranking Principle (PRP) have led to a number of alternative approaches that cater or compensate for the PRP’s limitations. In this pos...
146
Voted
SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
Searching is inherently an interactive process usually requiring numerous iterations of querying and assessing in order to find the desired amount of relevant information. Essent...
188
Voted
SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
Traditional recommendation algorithms often select products with the highest predicted ratings to recommend. However, earlier research in economics and marketing indicates that a ...
134
Voted
SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
The majority of the current information retrieval models weight the query concepts (e.g., terms or phrases) in an unsupervised manner, based solely on the collection statistics. I...
168
Voted
SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
155
Voted
SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
Versioned textual collections are collections that retain multiple versions of a document as it evolves over time. Important large-scale examples are Wikipedia and the web collect...
145
Voted
SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
Query performance prediction is aimed at predicting the retrieval effectiveness that a query will achieve with respect to a particular ranking model. In this paper, we study quer...