Aggregated Search and Interleaving Methods
| Autor: | Sara Lasri, El Habib Nfaoui |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Information retrieval
Interleaving Computer science media_common.quotation_subject 02 engineering and technology computer.software_genre Variety (cybernetics) Search engine Ranking 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Data mining computer media_common |
| Zdroj: | BDAW |
| DOI: | 10.1145/3010089.3010098 |
| Popis: | Aggregated search attempts to satisfy user's need by searching and assembling information from variety verticals and placing them into a single result page. Aggregated search has two research directions namely, cross-vertical Aggregated Search (cvAS) and Relational Aggregated Search (RAS). The first one focuses to find relations between the keywords of query. The second one tries to attain the variety results from different information sources. The outcomes (results) given by aggregated search should be evaluated to determine which system is reliable. To achieve this evaluation we use various metrics. Then for improving the ranked list which given by web search engines we must utilize interleaved methods for comparing the relative quality of two ranking systems. In addition to present the perfect result to users. The purpose of this article is to collect and classify the different methods of aggregated search and interleaving methods that exist so far in literature. Furthermore, we conduct some comparisons between interleaved methods and other ranking systems. |
| Databáze: | OpenAIRE |
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