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WWW
2007
ACM
15 years 10 months ago
Modeling user behavior in recommender systems based on maximum entropy
We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
15 years 10 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
WWW
2006
ACM
15 years 10 months ago
Mining search engine query logs for query recommendation
This paper presents a simple and intuitive method for mining search engine query logs to get fast query recommendations on a large scale industrial-strength search engine. In orde...
Zhiyong Zhang, Olfa Nasraoui
RECSYS
2010
ACM
14 years 9 months ago
Affiliation recommendation using auxiliary networks
Social network analysis has attracted increasing attention in recent years. In many social networks, besides friendship links amongst users, the phenomenon of users associating th...
Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu,...
CNSR
2007
IEEE
181views Communications» more  CNSR 2007»
15 years 1 months ago
The Application of Users' Collective Experience for Crafting Suitable Search Engine Query Recommendations
Search engines have turned into one of the most important services of the Web that are frequently visited by any user. They assist their users in finding appropriate information. ...
Faezeh Ensan, Ebrahim Bagheri, Mohsen Kahani