Travelled to:1 × Canada
1 × Singapore
1 × Switzerland
1 × USA
2 × China
Collaborated with:D.Wang G.Wang Y.Zhang Z.Chen Q.Yang H.Wang B.Hu Z.A.Zhu C.Zhu Y.Song S.Wang T.Wan R.Hu P.Bai Y.Lu Z.Zhang L.Zhang F.Zhong
Talks about:click (5) search (4) queri (4) model (4) rank (3) understand (2) behavior (2) learn (2) web (2) difficulti (1)
Person: Weizhu Chen
DBLP: Chen:Weizhu
Contributed to:
2014
20112010
201020092008Wrote 8 papers:
- CIKM-2014-SongWCW #comprehension #query
- Transfer Understanding from Head Queries to Tail Queries (YS, HW, WC, SW), pp. 1299–1308.
- KDD-2011-ZhangCWY #behaviour #comprehension #modelling #predict
- User-click modeling for understanding and predicting search-behavior (YZ, WC, DW, QY), pp. 1388–1396.
- CIKM-2010-WangCWZH #modelling #ranking
- Explore click models for search ranking (DW, WC, GW, YZ, BH), pp. 1417–1420.
- CIKM-2010-ZhangWWCZHZ #learning #modelling
- Learning click models via probit bayesian inference (YZ, DW, GW, WC, ZZ, BH, LZ), pp. 439–448.
- SIGIR-2010-ZhongWWCZCW #behaviour
- Incorporating post-click behaviors into a click model (FZ, DW, GW, WC, YZ, ZC, HW), pp. 355–362.
- CIKM-2009-ZhuCWZWC #divide and conquer #learning #query #ranking
- To divide and conquer search ranking by learning query difficulty (ZAZ, WC, TW, CZ, GW, ZC), pp. 1883–1886.
- CIKM-2009-ZhuCZWWC #algorithm #ranking
- A general magnitude-preserving boosting algorithm for search ranking (CZ, WC, ZAZ, GW, DW, ZC), pp. 817–826.
- SIGIR-2008-HuCBLCY #mining #query #web
- Web query translation via web log mining (RH, WC, PB, YL, ZC, QY), pp. 749–750.