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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 8 months ago
Online learning to diversify from implicit feedback
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...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
SIGIR
2004
ACM
15 years 11 months ago
Locality preserving indexing for document representation
Document representation and indexing is a key problem for document analysis and processing, such as clustering, classification and retrieval. Conventionally, Latent Semantic Index...
Xiaofei He, Deng Cai, Haifeng Liu, Wei-Ying Ma
CLEF
2004
Springer
15 years 11 months ago
How Do Named Entities Contribute to Retrieval Effectiveness?
Named entities in topics are a major factor contributing to the quality of retrieval results. In this paper, we report on an analysis on the correlation between the number of named...
Thomas Mandl, Christa Womser-Hacker
ACSC
2001
IEEE
15 years 9 months ago
Optimised Phrase Querying and Browsing of Large Text Databases
Most search systems for querying large document collections---for example, web search engines---are based on well-understood information retrieval principles
Dirk Bahle, Hugh E. Williams, Justin Zobel
EDBT
2010
ACM
153views Database» more  EDBT 2010»
15 years 9 months ago
Beyond pages: supporting efficient, scalable entity search with dual-inversion index
Entity search, a significant departure from page-based retrieval, finds data, i.e., entities, embedded in documents directly and holistically across the whole collection. This pap...
Tao Cheng, Kevin Chen-Chuan Chang