Author: Aleksander Kolcz
Publications
Co-authors
Productive Colleagues
- Gordon V. Cormack
- Yi Zhang
- Abdur Chowdhury
- 22
- 23
- 23
Publications
Zheleva, Elena, Kolcz, Aleksander, Getoor, Lise (2009): Trusting spam reporters: A reporter-based reputation system for email filtering. In ACM Transactions on Information Systems, 27 (1) pp. 3. https://dl.acm.org/doi/10.1145/1416950.1416953
Alspector, Joshua, Kolcz, Aleksander, Karunanithi, Nachimuthu (1998): Comparing Feature-Based and Clique-Based User Models for Movie Selection. In: DL98: Proceedings of the 3rd ACM International Conference on Digital Libraries , 1998, . pp. 11-18. https://www.acm.org/pubs/articles/proceedings/dl/276675/p11-alspector/p11-alspector.pdf
Kolcz, Aleksander, Alspector, Joshua (1999): An Internet-Based Newspaper Filtering and Personalization System. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 1999, . pp. 332. https://www.acm.org/pubs/articles/proceedings/ir/312624/p332-kolstokcz/p332-kolstokcz.pdf
Shanahan, James G., Amer-Yahia, Sihem, Manolescu, Ioana, Zhang, Yi, Evans, David A., Kolcz, Aleksander, Choi, Key-Sun, Chowdhury, Abdur (eds.) Proceedings of the 17th ACM Conference on Information and Knowledge Management - CIKM 2008 October 26-30, 2008, Napa Valley, California, USA.
Kolcz, Aleksander, Prabakarmurthi, Vidya, Kalita, Jugal K. (2001): Summarization as Feature Selection for Text Categorization. In: Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management November 5-10, 2001, Atlanta, Georgia, USA. pp. 365-370. https://
Hajishirzi, Hannaneh, Yih, Wen-tau, Kolcz, Aleksander (2010): Adaptive near-duplicate detection via similarity learning. In: Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2010, . pp. 419-426. https://doi.acm.org/10.1145/1835449.1835520
Cormack, Gordon V., Kolcz, Aleksander (2009): Spam filter evaluation with imprecise ground truth. In: Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2009, . pp. 604-611. https://doi.acm.org/10.1145/1571941.1572045