The work in seeks to scale up keyword search in the DISCOVER system by requiring results to be returned within a time budget, and then to point the user toward a list of other resources for more specialized information, such as query forms matching the keywords 137 492. It focuses on supporting keyword search in the YAGO project, also discussed in Chapter 15. The STAR Steiner Tree approximation algorithm exploits an existing taxonomic tree to provide improved performance beyond the methods described in this chapter and even gives an approximation guarantee in this setting.
BLINKS used the root-to-path-based scoring model described in this chapter and showed that there were complexity bound benefits. A refined version of BANKS developed the more general bidirectional search strategy. BANKS developed the techniques for backwards graph expansion described in this chapter and adopted a very general tree-based scoring model. SPARK proposed a scoring scheme that was motivated by techniques from information retrieval.Īlgorithms for scaling up search over databases remain a key focus. Early systems included DISCOVER and DbXplorer, which focused on SQL generation for keyword search but used very simple ranking schemes derived from the structure of the query tree itself. Yu, Lu, and Chang provide a recent overview of work in the broader keyword search-over-databases field. Keyword search and its relationship to databases and data integration have been studied in a wide variety of ways. Zachary Ives, in Principles of Data Integration, 2012 Bibliographic Notes Learn more about using Floodlight to track conversions in Search Ads 360.AnHai Doan. If your site removes these parameters or changes the values before your customer lands on a page that contains one of these tags, Search Ads 360 cannot attribute Floodlight conversions to your ads. To measure Floodlight conversions, Search Ads 360 requires these parameters to be passed to a page on your site that contains a global site tag or a conversion linker tag placed by Google Tag Manager. When customers click your ads, two parameters are appended to your landing page URLs: gclid and gclsrc. Tracking parameters for measuring Floodlight conversions Note that the following URL preserves the double encoding because it contains an unencoded ?: Double encode characters and make sure the URL does not contain an encodedĪfter a customer clicks your ad, Search Ads 360 will redirect to this URL:.Search Ads 360 unencodes the URL (because the URL contains an encoded ? character): Search Ads 360 retains the encoded character and redirects to:
Similarly, if you set this landing page URL: Search Ads 360 retains the encoded character and redirects to: Make sure the landing page URL does not contain an encoded question mark ( %3f).įor example, if you set this landing page URL: