Search Enhancements
(UXPROD-1705)
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| Status: | Closed |
| Project: | UX Product |
| Components: | None |
| Affects versions: | None |
| Fix versions: | None | Parent: | Search Enhancements |
| Type: | New Feature | Priority: | P3 |
| Reporter: | Cate Boerema (Inactive) | Assignee: | Unassigned |
| Resolution: | Done | Votes: | 0 |
| Labels: | elastic-search, inventory, search, search_enhancements, ux | ||
| Remaining Estimate: | Not Specified | ||
| Time Spent: | Not Specified | ||
| Original estimate: | Not Specified | ||
| Attachments: |
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| Issue links: |
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| Epic Link: | Search Enhancements | ||||||||||||||||||||||||||||||||||||||||
| Front End Estimate: | Large < 10 days | ||||||||||||||||||||||||||||||||||||||||
| Front End Estimator: | Jakub Skoczen | ||||||||||||||||||||||||||||||||||||||||
| Back End Estimate: | Large < 10 days | ||||||||||||||||||||||||||||||||||||||||
| Back End Estimator: | Jakub Skoczen | ||||||||||||||||||||||||||||||||||||||||
| Rank: Chalmers (Impl Aut 2019): | R4 | ||||||||||||||||||||||||||||||||||||||||
| Rank: Chicago (MVP Sum 2020): | R4 | ||||||||||||||||||||||||||||||||||||||||
| Rank: Cornell (Full Sum 2021): | R4 | ||||||||||||||||||||||||||||||||||||||||
| Rank: Duke (Full Sum 2021): | R2 | ||||||||||||||||||||||||||||||||||||||||
| Rank: 5Colleges (Full Jul 2021): | R4 | ||||||||||||||||||||||||||||||||||||||||
| Rank: FLO (MVP Sum 2020): | R4 | ||||||||||||||||||||||||||||||||||||||||
| Rank: GBV (MVP Sum 2020): | R2 | ||||||||||||||||||||||||||||||||||||||||
| Rank: hbz (TBD): | R2 | ||||||||||||||||||||||||||||||||||||||||
| Rank: Hungary (MVP End 2020): | R1 | ||||||||||||||||||||||||||||||||||||||||
| Rank: Lehigh (MVP Summer 2020): | R4 | ||||||||||||||||||||||||||||||||||||||||
| Rank: Leipzig (Full TBD): | R2 | ||||||||||||||||||||||||||||||||||||||||
| Rank: MO State (MVP June 2020): | R4 | ||||||||||||||||||||||||||||||||||||||||
| Rank: TAMU (MVP Jan 2021): | R4 | ||||||||||||||||||||||||||||||||||||||||
| Rank: U of AL (MVP Oct 2020): | R4 | ||||||||||||||||||||||||||||||||||||||||
| Description |
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Faceted search is the dynamic clustering of items or search results into categories that let users drill into search results (or even skip searching entirely) by any value in a facetable field. Each facet displayed also shows the number of hits within the search that match that category. Users can then “drill down” by applying specific contstraints to the search results. FOLIO currently supports simple filters. This feature represents the work remaining needed to implement facets. |
| Comments |
| Comment by Ann-Marie Breaux (Inactive) [ 02/Jul/18 ] |
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This will be important in Acquisitions, especially the orders app, where we will have a large list of filters. Also important to the Tags app, where we only want tag terms to show if the tags are used in the app or search results currently on the screen. Otherwise you end up with huge lists of countries, languages, and tags. |
| Comment by Cate Boerema (Inactive) [ 20/Sep/18 ] |
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Changing dev team from Core to Frontside, as this is required by the capacity model. We will make sure the "frontside" team is given some of John C's time in the model. |
| Comment by Karen Newbery [ 28/May/20 ] |
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Duke can wait one quarter - IF we have common command language searching |
| Comment by Brooks Travis [ 14/Apr/21 ] |
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I added a relates-to link for Elasticsearch EPIC (
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| Comment by Erin Nettifee [ 09/May/23 ] |
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This has been done; multiple facets are now available in the inventory UI, so I am closing this feature. |