Can web-based recommendation systems afford deep models: a context-based approach for efficient model-based reasoning.

Leiguang Gong


Anthology ID:DBLP:conf/www/Gong04
Volume:Proceedings of the 13th international conference on World Wide Web - Alternate Track Papers & Posters, WWW 2004, New York, NY, USA, May 17-20, 2004
Year:2004
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:89-93
URL:https://doi.org/10.1145/1013367.1013383
DOI:https://doi.org/10.1145/1013367.1013383
DBLP:conf/www/Gong04
BibTeX:
@inproceedings{gong-2004-webbased, author = {Leiguang Gong}, editor = {Stuart I. Feldman and Mike Uretsky and Marc Najork and Craig E. Wills}, title = {{Can web-based recommendation systems afford deep models: a context-based approach for efficient model-based reasoning}}, booktitle = {{Proceedings of the 13th international conference on World Wide Web - Alternate Track Papers & Posters, WWW 2004, New York, NY, USA, May 17-20, 2004}}, pages = {89--93}, publisher = {ACM}, year = {2004}, url = {https://doi.org/10.1145/1013367.1013383}, doi = {https://doi.org/10.1145/1013367.1013383} }