[ACM Press the 23rd annual international ACM SIGIR conference - Athens, Greece (2000.07.24-2000.07.28)] Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00 - An experimental comparison of naive Bayesian and keyword-based anti-spam filtering with personal e-mail messages

[ACM Press the 23rd annual international

[ACM Press the 23rd annual international ACM SIGIR conference - Athens, Greece (2000.07.24-2000.07.28)] Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00 - Extracting sentence segments for text summarization

✍ Chuang, Wesley T.; Yang, Jihoon 📂 Article 📅 2000 🏛 ACM Press ⚖ 923 KB

[ACM Press the 23rd annual international

[ACM Press the 23rd annual international ACM SIGIR conference - Athens, Greece (2000.07.24-2000.07.28)] Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00 - An investigation of linguistic features and clustering algorithms for topical document clustering

✍ Hatzivassiloglou, Vasileios; Gravano, Luis; Maganti, Ankineedu 📂 Article 📅 2000 🏛 ACM Press 🌐 English ⚖ 839 KB

[ACM Press the 29th annual international

[ACM Press the 29th annual international ACM SIGIR conference - Seattle, Washington, USA (2006.08.06-2006.08.11)] Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06 - Unifying user-based and item-based collaborative filtering approaches by similarity fusion

✍ Wang, Jun; de Vries, Arjen P.; Reinders, Marcel J. T. 📂 Article 📅 2006 🏛 ACM Press 🌐 English ⚖ 217 KB

[ACM Press the 29th annual international

[ACM Press the 29th annual international ACM SIGIR conference - Seattle, Washington, USA (2006.08.06-2006.08.11)] Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06 - Unifying user-based and item-based collaborative filtering approaches by similarity fusion

✍ Wang, Jun; de Vries, Arjen P.; Reinders, Marcel J. T. 📂 Article 📅 2006 🏛 ACM Press 🌐 English ⚖ 217 KB

Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large number of ratings from similar users or similar items are not available, due to the sparsity inherent to rating data. Cons