Roland Suri, ETH-Bibliothek
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An error occurred while saving the comment An error occurred while saving the comment Roland Suri, ETH-Bibliothek
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I just tested the retrieval performance of several search engines for English books using difficult search queries. The queries contained spelling variants, typos, word inflections and synonyms. Google Books came out best (100% hits). The Amazon Book Search (53 %), the EBay Book Search (43 %) and the Ex Libris Summon Search (40 %) scored lower. Primo VE performed badly (21 %) (see both attached documents for details).
Unfortunately, we cannot use Google to search our collections. The EBay Book Search uses the open source software Elastic Search, but the configuration of this software for the ETH library would be very demanding. The Ex Libris Summon Search would be an acceptable solution.Roland Suri, ETH-Bibliothek
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212 votes
An error occurred while saving the comment Roland Suri, ETH-Bibliothek
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Search capabilities of Primo are really bad. See also similar issues https://ideas.exlibrisgroup.com/forums/308176-primo/suggestions/39016888-improve-primo-search-algorithms
https://ideas.exlibrisgroup.com/forums/564566-summon/suggestions/17415091-automatically-searching-for-the-corrected-spellingRoland Suri, ETH-Bibliothek
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12 votesRoland Suri, ETH-Bibliothek
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The search results of Primo VE turned out to be worse than those of the Ex Libris Summon Search. Indeed, according to the product documentation of Ex Libris the search algorithms of Summon are more elaborate than those of Primo: Only with Primo VE (bu tnot with Summon) stemming is limited to queries that produce less than 25 hits. Only Summon (but not Primo VE) provides tokenization and decompounding. Only Summon provides "Verbatime Match Boost". I feel that these more elaborte search methods of Summon lead to better search results. I thus hope that Ex Libris will improve the Primo VE search methods using the Summon search methods.