![]() Specifies the number of suggestions that Solr returns. Specifies the query to use for suggestion lookups. You can it set in the request handler, or send it as a parameter at query time. ![]() Specifies the name of the dictionary component configured in the search component. This is because you always want to run the SuggesterComponent for queries submitted to this handler. Therefore, we recommend that you set it to false, and build the suggester manually with suggest.build=true. This is because the suggester data structure is rebuilt at startup time. When this setting is true, it may take longer to load and reload the core. It’s usually preferred to have this setting set to false and build suggesters manually issuing requests with suggest.build=true. Setting this to true could lead to the core talking longer to load (or reload), as the suggester data structure needs to be built. If you do not specify this parameter, the SuggesterComponent checks if the lookup data structure is present on disk and builds it if not found. If true, then the lookup data structure is built when Solr starts or when the core is reloaded. Instead, we recommend that you build the suggester at a lower frequency by manually issuing requests with suggest.build=true. In these situations, using buildOnCommit or buildOnOptimize, particularly with a high frequency of softCommits, is not recommended. Some lookup implementations may take a long time to build, especially with large indexes. Use buildOnCommit to rebuild the dictionary with every soft-commit, or buildOnOptimize to build the dictionary only when the index is optimized. If false (the default), then the lookup data structure is only built when requested by the URL parameter suggest.build=true. If true, then the lookup data structure is rebuilt after a soft commit. The folder where the dictionary file is stored. If this value is empty, then the main index is used as the source of terms and weights. The path to the dictionary file if using the FileDictionaryFactory. The field should have only a minimal amount of analysis, so you can also create a field type in your schema that only uses basic tokenizers or filters. You can use copyField rules to create a special "suggest" field that consists of terms from other fields in documents. The field must be stored to be used as the basis for a suggestion. If sourceLocation is empty, then terms from this index field will be used. In this case, the dictionary implementation will be FileDictionaryFactory.Ī field from the index to use as the basis for suggestion terms. If not specified, the default dictionary implementation is HighFrequencyDictionaryFactory unless a sourceLocation is used. If not specified, the default lookup implementation is JaspellLookupFactory. However, I would say it is good to have 4-5 keywords ready, and add more depending on the journal requirement.An arbitrary name for the search component. Journals ask for anywhere between 3-8 keywords. The full forms of shortened words or acronyms and abbreviations should be included as well. Also use variants terms or phrases that readers are likely to use (For example, if the paper is about spine disorders, use words like spinal cord, vertebral column, backbone, etc.)ĥ. (For example, if the paper is about heart diseases, use words like stroke, circulatory system, blood, etc.Ĥ. Also include words and phrases that are closely related to your topic. Keywords should contain words and phrases that suggest what the topic is about. Keywords should ideally be phrases of 2-4 words single word keywords are acceptable, but they may lead to many false matches.ģ. What keywords would the reader search for that would help retrieve your article?Ģ. Think from the point of view of the reader. ![]() Here are a few tips that will help you create relevant and effective keywords for your paper:ġ. Therefore, it is important to include the most relevant keywords that will help other authors find your paper. Keywords make your paper searchable and ensure that you get more citations. Keywords are words that capture the essence of your paper.
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