Runs - Session 2014¶
ecnusession1.RL1¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: ecnusession1.RL1
- Participant: ecnu
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL1
- MD5:
dcf8793abaf43e3b928dce1064148e45
- Run description: combine terrier BM25 + baseline ecnusession1.RL1
ecnusession1.RL2¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: ecnusession1.RL2
- Participant: ecnu
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL2
- MD5:
7c1302a014e9341fb798475d1dd10c03
- Run description: tfidf_click_indri_weight
ecnusession1.RL3¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: ecnusession1.RL3
- Participant: ecnu
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: manual
- Task: RL3
- MD5:
e07fc8fc1146e677a00fca0994f346e1
- Run description: manual change + weak rule RL3 based on ecnusession1.RL2
ecnusession2.RL1¶
Results
| Participants
| Input
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| Appendix
- Run ID: ecnusession2.RL1
- Participant: ecnu
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL1
- MD5:
d741ef3dae6cfbbaea8ce9d8e71d5796
- Run description: terrier BM25 combine baseline
ecnusession2.RL2¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: ecnusession2.RL2
- Participant: ecnu
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL2
- MD5:
add52a5c0f2a201a9e68ce7280da33c4
- Run description: LDA + click_indri_weighte_ecnusessio2
ecnusession2.RL3¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: ecnusession2.RL3
- Participant: ecnu
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL3
- MD5:
7ae431c0ad5d1f82a861af735d5758ed
- Run description: combine tfidf_click_indri_weighte + Rl3.py ecnusession2.RL3
ecnusession3.RL1¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: ecnusession3.RL1
- Participant: ecnu
- Track: Session
- Year: 2014
- Submission: 9/8/2014
- Type: automatic
- Task: RL1
- MD5:
480b62158ff8c2f31f8c2f1b4fe44b73
- Run description: indri online combine baseline
ecnusession3.RL2¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: ecnusession3.RL2
- Participant: ecnu
- Track: Session
- Year: 2014
- Submission: 9/8/2014
- Type: automatic
- Task: RL2
- MD5:
e0b2425f83df79961faeaca6bf4d64a7
- Run description: svm + features
ecnusession3.RL3¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: ecnusession3.RL3
- Participant: ecnu
- Track: Session
- Year: 2014
- Submission: 9/8/2014
- Type: automatic
- Task: RL3
- MD5:
ad3abfc63c495f01f5b7f02ff6fd5299
- Run description: combine svm + features + tfidf_indri_weight + RL3.py
ECxCGxPRF.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ECxCGxPRF.RL1
- Participant: Endicott
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL1
- MD5:
b6baee7c88d085f9a1ce06bfe71105cb
- Run description: Used 2013 data to generate a document click collocation graph. A random walk over that graph was performed using the top document retrieved for the current query of each session (from the track-provided baseline retrieval) to generate document recommendations. Recommendations that were retrieved in the top 50 ranks of the baseline retrieval results were boosted to the top of the ranking.
ECxCGxPRF.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ECxCGxPRF.RL2
- Participant: Endicott
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL2
- MD5:
960f72831c65c039bea51faa5fc412e4
- Run description: Used 2013 data to generate a document click collocation graph. A random walk over that graph was performed using either a) the top document retrieved for the current query of each session (from the track-provided baseline retrieval) or b) clicked documents to generate document recommendations. A) was used for sessions with no clicks. Recommendations that were retrieved in the top 50 ranks of the baseline retrieval results were boosted to the top of the ranking.
ECxCGxPRF.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ECxCGxPRF.RL3
- Participant: Endicott
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL3
- MD5:
e09aed6dc7af4df488eba5087af44db8
- Run description: Used 2013 and 2014 data to generate a document click collocation graph. A random walk over that graph was performed using either a) the top document retrieved for the current query of each session (from the track-provided baseline retrieval) or b) clicked documents to generate document recommendations. A) was used for sessions with no clicks. Recommendations that were retrieved in the top 50 ranks of the baseline retrieval results were boosted to the top of the ranking.
ECxSRMxOS.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ECxSRMxOS.RL1
- Participant: Endicott
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL1
- MD5:
36d29e2f2c1cc9c4727c40fd46f27325
- Run description: This is the baseline run with spam document removed (using a Waterloo spam cutoff of 65).
ECxSRMxOS.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ECxSRMxOS.RL2
- Participant: Endicott
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL2
- MD5:
9a055e50e697dc64e9c5eac7a1206d3b
- Run description: This is a re-ranking of the baseline run with spam document removed (using a Waterloo spam cutoff of 65). Re-ranking was performed only over queries with clicks. The snippets of clicked documents within a session were used to build a relevance model, and the results of the current query were re-ranked using their snippet text.
ECxSRMxOS.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ECxSRMxOS.RL3
- Participant: Endicott
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL3
- MD5:
b971e8ca3abc35881b4c8fc449fd2e62
- Run description: This is a re-ranking of the baseline run with spam document removed (using a Waterloo spam cutoff of 65). An initial re-ranking was performed only over queries with clicks. The snippets of clicked documents within a session were used to build a relevance model, and the results of the current query were re-ranked using their snippet text. A second re-ranking was performed, boosting documents in the top 50 results that were recommended using a document click collocation graph generated over the 2013 and 2014 data.
ECxSRMxPRF.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ECxSRMxPRF.RL1
- Participant: Endicott
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL1
- MD5:
0721e9755e1f0028e5bfa191793d3400
- Run description: This is a re-ranking of the baseline run with spam document removed (using a Waterloo spam cutoff of 65). The snippet of the top document retrieved for the current query of each session was used to create a relevance model, and documents were re-ranked by their snippet text.
ECxSRMxPRF.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ECxSRMxPRF.RL2
- Participant: Endicott
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL2
- MD5:
6cad1b613c77c611a227f33f356d8697
- Run description: This is a re-ranking of the baseline run with spam document removed (using a Waterloo spam cutoff of 65). For sessions without clicks, the snippet of the top document retrieved for the current query of each session was used to create a relevance model, and documents were re-ranked by their snippet text. For sessions with clicks, the snippet text of clicked documents was used to create the relevance model.
ECxSRMxPRF.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ECxSRMxPRF.RL3
- Participant: Endicott
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL3
- MD5:
1936e6c217a9d19e158d138cc386c106
- Run description: This is a re-ranking of the baseline run with spam document removed (using a Waterloo spam cutoff of 65). For sessions without clicks, the snippet of the top document retrieved for the current query of each session was used to create a relevance model, and documents were re-ranked by their snippet text. For sessions with clicks, the snippet text of clicked documents was used to create the relevance model. A final re-ranking was performed, boosting documents in the top 50 results that were recommended using a document click collocation graph generated over the 2013 and 2014 data.
GUS14Run1.RL1¶
Results
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| Proceedings
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- Run ID: GUS14Run1.RL1
- Participant: Georgetown
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL1
- MD5:
46847e026bf5f2c847a53fd302d00357
- Run description: Click docs + CatB Adhoc Search with Lemur
GUS14Run1.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: GUS14Run1.RL2
- Participant: Georgetown
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL2
- MD5:
e2517f735e5413311de1ef63930a7a7c
- Run description: Clicked docs + catB QCM with bad queries weight 0.65 increase clicked documents in a session
GUS14Run1.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: GUS14Run1.RL3
- Participant: Georgetown
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL3
- MD5:
1ff2071f9711ee60396dd3d674d19585
- Run description: CatB + Clicked documents QCM with 0.65 weighted bad queries session clustred using k-means
GUS14Run2.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: GUS14Run2.RL1
- Participant: Georgetown
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL1
- MD5:
7639c08f29c913a2fdae1082d2528a6a
- Run description: Clicked docs and CatB Adhoc Search using Lemur
GUS14Run2.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: GUS14Run2.RL2
- Participant: Georgetown
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL2
- MD5:
e631ec6fed49e2c4c9ec68cca80e4ce1
- Run description: CatB and clicked docs QCM with bad query weight 0.8 increase clicked documents' score
GUS14Run2.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: GUS14Run2.RL3
- Participant: Georgetown
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL3
- MD5:
7c6f6193d620ea361cde3ad5f85738b9
- Run description: Click docs and ClueWeb12CatB qcm with bad query weight 0.8 session clustered using k-mean
GUS14Run3.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: GUS14Run3.RL1
- Participant: Georgetown
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL1
- MD5:
be22afb6564178da3df4cebdeb52a4ae
- Run description: clicked docs and CatB adhoc lemur retrieval
GUS14Run3.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: GUS14Run3.RL2
- Participant: Georgetown
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL2
- MD5:
fecba96a14c05daf52193cb2f99c0c14
- Run description: CatB and clicked docs QCM with 0.8 weight for bad queries clicked documents' score increased
GUS14Run3.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: GUS14Run3.RL3
- Participant: Georgetown
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL3
- MD5:
d5f024ad2135a7dd072da2a49d962789
- Run description: clicked docs + CatB QCM + 0.8 weight bad queries used topic number as topic id to organize sessions
ICTNET14SER1.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ICTNET14SER1.RL1
- Participant: ICTNET
- Track: Session
- Year: 2014
- Submission: 9/8/2014
- Type: automatic
- Task: RL1
- MD5:
1d4c7bb40f293acce0a874dde5c958c3
- Run description: a re-ordered baseline RL1 run
ICTNET14SER1.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ICTNET14SER1.RL2
- Participant: ICTNET
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL2
- MD5:
da0eff30a51b8aa2a6b2fa39dd8fe7ac
- Run description: ICTNET14SER1.RL2 uses 7 features to train the LTR model which will be used in re-rank the original document order in baseline. The seven features are bm25 score between query and content, cosin similarity between query and title, query expansion score, visual document score, pagerank score, whether the document is clicked and the predicted attention time of the score.
ICTNET14SER1.RL3¶
Results
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| Proceedings
| Input
| Summary
| Appendix
- Run ID: ICTNET14SER1.RL3
- Participant: ICTNET
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL3
- MD5:
c14df23a89256676697fae01a4a6b656
- Run description: ICTNET14SER1.RL3 uses the completely same features of the ICTNET14SER1.RL2, except that ICTNET14SER1.RL3 uses all the information of sessions that have the same topic with the current session.
ICTNET14SER2.RL1¶
Results
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| Appendix
- Run ID: ICTNET14SER2.RL1
- Participant: ICTNET
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL1
- MD5:
2e1afc7827c1d12d07a25967884e52d1
- Run description: a re-ordered baseline RL1 run
ICTNET14SER2.RL2¶
Results
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| Proceedings
| Input
| Summary
| Appendix
- Run ID: ICTNET14SER2.RL2
- Participant: ICTNET
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL2
- MD5:
fe1728b1fe965bce9c413c30731a82ec
- Run description: ICTNET14SER2.RL2 uses 4 features to train the LTR model which will be used in re-rank the original document order in baseline. The four features are bm25 score between query and content, cosin similarity between query and title, query expansion score, visual document score.
ICTNET14SER2.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ICTNET14SER2.RL3
- Participant: ICTNET
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL3
- MD5:
3e9a01f5a2ba0e23bc91a43c5d50327d
- Run description: ICTNET14SER2.RL3 uses the completely same features of the ICTNET14SER2.RL2, except that ICTNET14SER2.RL3 uses all the information of sessions that have the same topic with the current session.
ICTNET14SER3.RL1¶
Results
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| Proceedings
| Input
| Summary
| Appendix
- Run ID: ICTNET14SER3.RL1
- Participant: ICTNET
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL1
- MD5:
0477409352ad8017963bf80c4bd09199
- Run description: a re-ordered baseline RL1 run
ICTNET14SER3.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ICTNET14SER3.RL2
- Participant: ICTNET
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL2
- MD5:
0df6e14d2727dd79da21519a7f0ff295
- Run description: ICTNET14SER3.RL2 uses 4 features to train the LTR model which will be used in re-rank the original document order in baseline. The four features are cosin similarity between query and title, query expansion score, visual document score and the predicted attention time of the score.
ICTNET14SER3.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: ICTNET14SER3.RL3
- Participant: ICTNET
- Track: Session
- Year: 2014
- Submission: 9/9/2014
- Type: automatic
- Task: RL3
- MD5:
a7e7aea2f3fdfa01d5e76242a8741491
- Run description: ICTNET14SER3.RL3 uses the completely same features of the ICTNET14SER3.RL2, except that ICTNET14SER3.RL3 uses all the information of sessions that have the same topic with the current session.
RAMA.RL1¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: RAMA.RL1
- Participant: RAMA
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL1
- MD5:
383b28ee7404057ad134b8f260acf0bd
- Run description: This RL1 run is based on basic Lucene search with the current query.
RAMA.RL2¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: RAMA.RL2
- Participant: RAMA
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL2
- MD5:
2eba631f9af158a4abb90a5c41b8eab2
- Run description: This RL2 run is based on a user's interest model built with the data in the same session as the current query. The top-weighted elements in the model is combined with the current query for a refined Lucene search.
RAMA.RL3¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: RAMA.RL3
- Participant: RAMA
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL3
- MD5:
3a6c35394a2b0ecd2aabd10868c7588e
- Run description: This RL3 run is based on a user's long-term interest model built with the data in all sessions belong to the user. The top-weighted elements in the model is then combined with the current query for a refined Lucene search.
SCIAITeamC.RL1¶
Results
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| Proceedings
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| Appendix
- Run ID: SCIAITeamC.RL1
- Participant: SCIAITeam
- Track: Session
- Year: 2014
- Submission: 8/26/2014
- Type: automatic
- Task: RL1
- MD5:
11ba880e9be8a2d1712d2e9af80b4872
- Run description: Used the content of the clicked on pages to expand on the query
SCIAITeamC.RL2¶
Results
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| Proceedings
| Input
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| Appendix
- Run ID: SCIAITeamC.RL2
- Participant: SCIAITeam
- Track: Session
- Year: 2014
- Submission: 8/26/2014
- Type: automatic
- Task: RL2
- MD5:
fc368afc74e8295ea755e44805c0aa04
- Run description: Used the content of the clicked on pages to expand on the query
SCIAITeamF.RL1¶
Results
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| Appendix
- Run ID: SCIAITeamF.RL1
- Participant: SCIAITeam
- Track: Session
- Year: 2014
- Submission: 8/26/2014
- Type: automatic
- Task: RL1
- MD5:
97092ac16b2854e124abf10bcef29109
- Run description: Used a Framing technique on the "query" and the returned web pages to automatically judge relevance. Named Entity recognition and part of speech tagging was utilized.
SCIAITeamF.RL2¶
Results
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| Proceedings
| Input
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| Appendix
- Run ID: SCIAITeamF.RL2
- Participant: SCIAITeam
- Track: Session
- Year: 2014
- Submission: 8/26/2014
- Type: automatic
- Task: RL2
- MD5:
0f0e50cefcaa1e54238856acecd43254
- Run description: Used a Framing technique on the "query" and the returned web pages to automatically judge relevance. Named Entity recognition and part of speech tagging was utilized.
SCIAITeamL.RL1¶
Results
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| Proceedings
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| Appendix
- Run ID: SCIAITeamL.RL1
- Participant: SCIAITeam
- Track: Session
- Year: 2014
- Submission: 8/26/2014
- Type: automatic
- Task: RL1
- MD5:
068de8cb35ed39b78aa385b6d0591f9a
- Run description: Used the content of the pages with the longest visited time to expand on the query
SCIAITeamL.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: SCIAITeamL.RL2
- Participant: SCIAITeam
- Track: Session
- Year: 2014
- Submission: 8/26/2014
- Type: automatic
- Task: RL2
- MD5:
13904e4b7947d509c4e7236520833406
- Run description: Used the content of the pages with the longest visited time to expand on the query
uclbaseline.RL1¶
Results
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| Appendix
- Run ID: uclbaseline.RL1
- Participant: UCL
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL1
- MD5:
534cbf7bdecfcc2eaf5edfaa0655187e
- Run description: Simple baseline retrieval.
udel14Run1.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: udel14Run1.RL1
- Participant: udel
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL1
- MD5:
66659cb4dac2e3a0480ec191fb192cc3
- Run description: Run1 uses a simple data fusion technique, in addition to spam filtering. RL1 does not use information across sessions
udel14Run1.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: udel14Run1.RL3
- Participant: udel
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL3
- MD5:
d564f1fd6de3a033427037d160a9342a
- Run description: Run1 uses a simple data fusion technique, in addition to spam filtering.
udelitu.RL1¶
Results
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| Proceedings
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| Appendix
- Run ID: udelitu.RL1
- Participant: udel
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL1
- MD5:
d7bbe643e423f1bcc68342716c9acb90
- Run description: inlink title url
UMASS1.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: UMASS1.RL1
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL1
- MD5:
6e2a8b14037d2f157e2b3f40f0451d6c
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
UMASS1.RL2¶
Results
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| Proceedings
| Input
| Summary
| Appendix
- Run ID: UMASS1.RL2
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL2
- MD5:
c8069d88fbb37e40283151afa176cf0e
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
UMASS1.RL3¶
Results
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| Proceedings
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| Appendix
- Run ID: UMASS1.RL3
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL3
- MD5:
23549d6513bcfa78746b7e0d12e5d94e
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
UMASS2.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: UMASS2.RL1
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL1
- MD5:
c94bd06b41d22e750ae5d56a5bd81eca
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
UMASS2.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: UMASS2.RL2
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL2
- MD5:
ecdd95fa95a7cf19e333c83e1b696401
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
UMASS2.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: UMASS2.RL3
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL3
- MD5:
c4949880122d6d114a9f1f8d466cae7b
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
UMASS3.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: UMASS3.RL1
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL1
- MD5:
7ecb556a49795e5995990a733244aaaa
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
UMASS3.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: UMASS3.RL2
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL2
- MD5:
b18252bbc63877c6951a7d80cc9b04ca
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
UMASS3.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: UMASS3.RL3
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL3
- MD5:
b18252bbc63877c6951a7d80cc9b04ca
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
UMASS4.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: UMASS4.RL1
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL1
- MD5:
eb508fa9148c4a19c1ef315f1bc4b679
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
UMASS4.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: UMASS4.RL2
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL2
- MD5:
ab3e243ab4565a11c86b11161b499db5
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
UMASS4.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: UMASS4.RL3
- Participant: UMASS_CIIR
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL3
- MD5:
a20935716d4093f89850a5b98dafe09a
- Run description: Learning to rank using: current query, query reformulation, clicked snippet and skipped snippet, SAT clicks and DSAT clicks.
webis2014act.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: webis2014act.RL1
- Participant: BUW
- Track: Session
- Year: 2014
- Submission: 9/8/2014
- Type: automatic
- Task: RL1
- MD5:
ccea4fb96c34d0622e9707f575931777
- Run description: Baseline ranking provided by TREC
webis2014act.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: webis2014act.RL2
- Participant: BUW
- Track: Session
- Year: 2014
- Submission: 9/8/2014
- Type: automatic
- Task: RL2
- MD5:
72df3f5eb56d8a14b6fb0734d19e49e3
- Run description: Removed previously viewed documents from baseline ranking.
webis2014act.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: webis2014act.RL3
- Participant: BUW
- Track: Session
- Year: 2014
- Submission: 9/8/2014
- Type: automatic
- Task: RL3
- MD5:
aea922fbb9e5b2446e648d08794510ce
- Run description: Reranking according to the spreading activation, based on PMI between phrases of the task description and result's snippets.
webis2014db.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: webis2014db.RL1
- Participant: BUW
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL1
- MD5:
d043286919373bd73aff3b19c89deddc
- Run description: Baseline for webis2014db
webis2014db.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: webis2014db.RL2
- Participant: BUW
- Track: Session
- Year: 2014
- Submission: 9/8/2014
- Type: automatic
- Task: RL2
- MD5:
281e3675efac32b15fe9607f30c95c83
- Run description: Baseline ranking with previously clicked results removed
webis2014db.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: webis2014db.RL3
- Participant: BUW
- Track: Session
- Year: 2014
- Submission: 9/8/2014
- Type: automatic
- Task: RL3
- MD5:
47977eba5df262fcb28cac850409de29
- Run description: Baseline re-ranked, based on relevance judgements of the previous years.
webisSt14ax.RL1¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: webisSt14ax.RL1
- Participant: BUW
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL1
- MD5:
4debeac5c123401b0a48a88228ebf172
- Run description: baseline for axiomatic approach
webisSt14ax.RL2¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: webisSt14ax.RL2
- Participant: BUW
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL2
- MD5:
7d14bee50af4eb1c6543d7c041a19580
- Run description: RL2 with concluded axiom weights based on clicked pages and 'syn' weights
webisSt14ax.RL3¶
Results
| Participants
| Proceedings
| Input
| Summary
| Appendix
- Run ID: webisSt14ax.RL3
- Participant: BUW
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL3
- MD5:
80e6654dd5b27cb55a5f59f59c1287ae
- Run description: RL3 with concluded axiom weights based on clickresults and 'max' approach
WLZNTJU.RL1¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: WLZNTJU.RL1
- Participant: wlzn_tju_cn
- Track: Session
- Year: 2014
- Submission: 9/10/2014
- Type: automatic
- Task: RL1
- MD5:
682f7ee77705b7041d5cbb25257d7697
- Run description: This is a baseline run simply using the LM running on cluewebB.
WLZNTJU.RL2¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: WLZNTJU.RL2
- Participant: wlzn_tju_cn
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL2
- MD5:
33add32a710a4bf915c8b1fd486a2903
- Run description: use only the same session features to train an learning to rank model. we only submit 50 documents for each session for the reason that we have no sufficient time to return 2000 documents.
WLZNTJU.RL3¶
Results
| Participants
| Input
| Summary
| Appendix
- Run ID: WLZNTJU.RL3
- Participant: wlzn_tju_cn
- Track: Session
- Year: 2014
- Submission: 9/11/2014
- Type: automatic
- Task: RL3
- MD5:
820eb8e17068b0d66841de76c3f854a8
- Run description: this result is obtained using learning to rank methods. the features are extracted from current query, previous query, the whole session and the other sessions within the same topic. The click-through data is used as the relevance judgement in labeling. As we run on the cluewebB, so we didn't use the full text of the interaction and only use the title and snippets.