A query-basis approach to parametrizing novelty-biased cumulative gain

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6931 LNCS, Issue , 2011, Pages 327-331

  Leelanupab, Teerapong ^a   Zuccon, Guido ^a   Jose, Joemon M ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

diversity; effectiveness measure; sub topic retrieval; web search

Indexed keywords

DIVERSITY; EFFECTIVENESS MEASURE; RETRIEVAL SYSTEMS; SUB-TOPIC RETRIEVAL; SYSTEM RANKINGS; WEB SEARCHES;

INFORMATION RETRIEVAL; USER INTERFACES; WORLD WIDE WEB;

SEARCH ENGINES;

EID: 80052998740     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23318-0_32     Document Type: Conference Paper

References (3)

1. Clarke, C.L., Kolla, M., Cormack, G.V., Vechtomova, O., Ashkan, A., B̈uttcher, S., MacKinnon, I.: Novelty and diversity in information retrieval evaluation. In: SIGIR 2008, pp. 659-666 (2008)
2. Sakai, T., Craswell, N., Song, R., Robertson, S., Dou, Z., Lin, C.: Simple Evaluation Metrics for Diversified Search Results. In: EVIA 2010, pp. 42-50 (2010)
3. Zhai, C.X., Cohen, W.W., Lafferty, J.: Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. In: SIGIR 2003, pp. 10-17 (2003)