Travelled to:1 × Brazil
1 × United Kingdom
2 × USA
Collaborated with:Z.Chen E.A.Fox W.Fan W.Ma M.Luo G.Xue H.Zeng Y.Yu B.Zhang J.Lind E.Brill O.Sornil J.Yan Q.Yang H.Li L.Wang D.Zhuang C.Lin Y.Liu L.Ji S.Yan Q.Cheng
Talks about:use (4) search (3) web (3) feedback (2) similar (2) rank (2) relationship (1) experiment (1) newsgroup (1) increment (1)
Person: Wensi Xi
DBLP: Xi:Wensi
Contributed to:
2005
2004
20042004
2002Wrote 9 papers:
- SIGIR-2005-XiFFZCYZ #matrix #named #similarity #using
- SimFusion: measuring similarity using unified relationship matrix (WX, EAF, WF, BZ, ZC, JY, DZ), pp. 130–137.
- SIGIR-2005-XueLYXZYC #clustering #collaboration #scalability #using
- Scalable collaborative filtering using cluster-based smoothing (GRX, CL, QY, WX, HJZ, YY, ZC), pp. 114–121.
- SIGIR-2005-ZhangLLJXFCM #graph #using #web
- Improving web search results using affinity graph (BZ, HL, YL, LJ, WX, WF, ZC, WYM), pp. 504–511.
- CIKM-2004-XueZCYMXF #optimisation #using #web
- Optimizing web search using web click-through data (GRX, HJZ, ZC, YY, WYM, WX, WF), pp. 118–126.
- CIKM-2004-XueZCYMXF04a #algorithm #named #similarity
- MRSSA: an iterative algorithm for similarity spreading over interrelated objects (GRX, HJZ, ZC, YY, WYM, WX, EAF), pp. 240–241.
- KDD-2004-YanZYYLCXFMC #incremental #named
- IMMC: incremental maximum margin criterion (JY, BZ, SY, QY, HL, ZC, WX, WF, WYM, QC), pp. 725–730.
- SIGIR-2004-FanLWXF #feedback #ranking #retrieval #robust
- Tuning before feedback: combining ranking discovery and blind feedback for robust retrieval (WF, ML, LW, WX, EAF), pp. 138–145.
- SIGIR-2004-XiLB #effectiveness #learning #ranking
- Learning effective ranking functions for newsgroup search (WX, JL, EB), pp. 394–401.
- ECDL-2002-XiSLF #hybrid #validation
- Hybrid Partition Inverted Files: Experimental Validation (WX, OS, ML, EAF), pp. 422–431.