Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2012/paper/133> ?p ?o. }
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- 133 creator li-wei-he.
- 133 creator yalou-huang.
- 133 creator yang-song.
- 133 creator zhen-liao.
- 133 type InProceedings.
- 133 label "Evaluating the Effectiveness of Search Task Trails".
- 133 sameAs 133.
- 133 abstract "In this paper, we introduce ``task trail'' as a new concept to understand user search behaviors. We define task to be an atomic user information need. Web search logs have been studied mainly at session or query level where users may submit several queries within one task and handle several tasks within one session. Although previous studies have addressed the problem of task identification, little is known about the advantage of using task over session and query for search applications. In this paper, we conduct extensive analyses and comparisons to evaluate the effectiveness of task trails in three search applications: determining user satisfaction, predicting user search interests, and query suggestion. Experiments are conducted on large scale datasets from a commercial search engine. Experimental results show that: (1) Sessions and queries are not as precise as tasks in determining user satisfaction. (2) Task trails provide higher web page utilities to users than other sources. (3) Tasks represent atomic user information needs, and therefore can preserve topic similarity between query pairs. (4) Task-based query suggestion can provide complementary results to other models. The findings in this paper verify the need to extract task trails from web search logs and suggest potential applications in search and recommendation systems.".
- 133 hasAuthorList authorList.
- 133 isPartOf proceedings.
- 133 keyword "Search log mining".
- 133 keyword "log analysis".
- 133 keyword "task evaluation".
- 133 keyword "task trail".
- 133 title "Evaluating the Effectiveness of Search Task Trails".