Web IR NLP Group @ NUS
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Recommender Systems
Health Forum Thread Recommendation Using an Interest Aware Topic Model
We introduce a general, interest-aware topic model (IATM), in which known higher-level interests on topics expressed by each user can …
Kishaloy Halder
,
Min-Yen Kan
,
Kazunari Sugiyama
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Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators
Among several traditional and novel mobile app recommender techniques that utilize a diverse set of app-related features (such as an …
Jovian Lin
,
Kazunari Sugiyama
,
Min-Yen Kan
,
Tat-Seng Chua
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New and improved: modeling versions to improve app recommendation
Existing recommender systems usually model items as static – unchanging in attributes, description, and features. However, in …
Jovian Lin
,
Kazunari Sugiyama
,
Min-Yen Kan
,
Tat-Seng Chua
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DOI
URL
Addressing cold-start in app recommendation: latent user models constructed from twitter followers
As a tremendous number of mobile applications (apps) are readily available, users have difficulty in identifying apps that are relevant …
Jovian Lin
,
Kazunari Sugiyama
,
Min-Yen Kan
,
Tat-Seng Chua
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DOI
URL
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