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» A Web Recommendation System Based on Maximum Entropy
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KDD
2002
ACM
196views Data Mining» more  KDD 2002»
14 years 8 months ago
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
Abstract. Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has bec...
Andreas Geyer-Schulz, Michael Hahsler
COLING
2002
13 years 7 months ago
Morphological Analysis of the Spontaneous Speech Corpus
This paper describes a project tagging a spontaneous speech corpus with morphological information such as word segmentation and parts-ofspeech. We use a morphological analysis sys...
Kiyotaka Uchimoto, Chikashi Nobata, Atsushi Yamada...
HYPERTEXT
2009
ACM
14 years 4 months ago
A scalable, collaborative similarity measure for social annotation systems
Collaborative annotation tools are in widespread use. The metadata from these systems can be mined to induce semantic relationships among Web objects (sites, pages, tags, concepts...
Benjamin Markines, Filippo Menczer
ECAI
2010
Springer
13 years 5 months ago
Social Recommendation with Interpersonal Influence
Social recommendation, that an individual recommends an item to another, has gained popularity and success in web applications such as online sharing and shopping services. It is l...
Junming Huang, Xueqi Cheng, Jiafeng Guo, Huawei Sh...
KES
2004
Springer
14 years 29 days ago
Multi-agent Web Recommendation Method Based on Indirect Association Rules
Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data – historical user sessions....
Przemyslaw Kazienko