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KDD
2009
ACM
305views Data Mining» more  KDD 2009»
16 years 7 months ago
Grocery shopping recommendations based on basket-sensitive random walk
We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...
WWW
2007
ACM
16 years 7 months ago
Multi-factor clustering for a marketplace search interface
Search engines provide a small window to the vast repository of data they index and against which they search. They try their best to return the documents that are of relevance to...
Neel Sundaresan, Kavita Ganesan, Roopnath Grandhi
SAC
2008
ACM
15 years 6 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
EWCBR
2008
Springer
15 years 8 months ago
Provenance, Trust, and Sharing in Peer-to-Peer Case-Based Web Search
Despite the success of modern Web search engines, challenges remain when it comes to providing people with access to the right information at the right time. In this paper, we desc...
Peter Briggs, Barry Smyth
WEBI
2010
Springer
15 years 4 months ago
Using Relational Similarity between Word Pairs for Latent Relational Search on the Web
Latent relational search is a new search paradigm based on the degree of analogy between two word pairs. A latent relational search engine is expected to return the word Paris as a...
Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishiz...