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  2. Query expansion - Wikipedia

    en.wikipedia.org/wiki/Query_expansion

    Machine learning based query term weight and synonym analyzer for query expansion. LucQE - open-source, Java. Provides a framework along with several implementations that allow to perform query expansion with the use of Apache Lucene. Xapian is an open-source search library which includes support for query expansion; ReQue open-source, Python ...

  3. Divergence-from-randomness model - Wikipedia

    en.wikipedia.org/wiki/Divergence-from-randomness...

    The Divergence from randomness model can show the best performance with only a few documents comparing to other query expansion skills. The framework of Divergence from randomness model is very general and flexible. With the query expansion provided for each component, we can apply different technologies in order to get the best performance.

  4. Extended Boolean model - Wikipedia

    en.wikipedia.org/wiki/Extended_Boolean_model

    We can generalize the previous 2D extended Boolean model example to higher t-dimensional space using Euclidean distances. This can be done using P-norms which extends the notion of distance to include p-distances, where 1 ≤ p ≤ ∞ is a new parameter. [3] A generalized conjunctive query is given by:

  5. Binary independence model - Wikipedia

    en.wikipedia.org/wiki/Binary_Independence_Model

    Yu and Salton [1] showed that such a weight assignment to query terms yields better retrieval effectiveness than if query terms are equally weighted. Robertson and Spärck Jones [ 2 ] later showed that if the i th term is assigned the weight of log ⁡ Y i {\displaystyle \log Y_{i}} , then optimal retrieval effectiveness is obtained under the ...

  6. Vocabulary mismatch - Wikipedia

    en.wikipedia.org/wiki/Vocabulary_mismatch

    Their results show that an average query term fails to appear in 30-40% of the documents that are relevant to the user query. They also showed that this probability of mismatch is a central probability in one of the fundamental probabilistic retrieval models, the Binary Independence Model. They developed novel term weight prediction methods ...

  7. Rocchio algorithm - Wikipedia

    en.wikipedia.org/wiki/Rocchio_algorithm

    Modern information retrieval systems have moved towards eliminating the non-related documents by setting c = 0 and thus only accounting for related documents. Although not all retrieval systems have eliminated the need for non-related documents, most have limited the effects on modified query by only accounting for strongest non-related ...

  8. 12 reasons you aren't losing weight even though you're eating ...

    www.aol.com/lifestyle/12-reasons-arent-losing...

    For example, the diabetes medication Metformin isn't associated with weight gain like insulin and older meds. Beyond medication, focus on what you can control: making lifestyle changes that keep ...

  9. Evaluation measures (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Evaluation_measures...

    Indexing and classification methods to assist with information retrieval have a long history dating back to the earliest libraries and collections however systematic evaluation of their effectiveness began in earnest in the 1950s with the rapid expansion in research production across military, government and education and the introduction of computerised catalogues.