16 search results - page 2 / 4 » Learning optimally diverse rankings over large document coll... |
SIGIR
2009
ACM
2009
ACM
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
13 years 11 months ago
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
SIGIR
2010
ACM
13 years 8 months ago
2010
ACM
Ranking search results is a fundamental problem in information retrieval. In this paper we explore whether the use of proximity and phrase information can improve web retrieval ac...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
TOIS
2010
13 years 3 months ago
2010
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...