Abstract:
Various example embodiments are provided for inferring relationships between a first query comprising a plurality of first terms and a second query comprising a plurality of second terms. In an example, queries are related based on the identification of common terms between the queries. One or more dissimilar terms are identified between the plurality of first terms and the plurality of second terms. A first number of dissimilar terms included in the first query and a second number of dissimilar terms included in the second query are identified. A weight is assigned to the relationship between the first query and the second query based on a difference between the first number and the second number.
Abstract:
Systems and a method for expanding a query are described. The method calculates a diversity index for a plurality of query terms that are included in a plurality of other queries associated with the query. The diversity index is a measure of diversity among the plurality of query terms and relates to differences among the plurality of query terms. The method further compares the diversity index to a threshold value. Finally, the method expands the query with one or more of the plurality of query terms based on the comparison.
Abstract:
Various example embodiments are provided for inferring relationships between queries. In an example, queries are related based on the identification of common terms between the queries. Another example is to relate queries based on the identification that the queries are associated with a single search session. Yet another example is to infer relationships based on the identification of relationships between item attributes retrieved from the submission of the queries.
Abstract:
Methods, systems, and computer programs are presented for identifying gaps in content in a website for content generation and/or modification for the website. A gap in content in a website is identified based on a comparison of search results for the website and a third-party website for a search using a keyword. A user interface is generated with the keyword providing information regarding the gap in content in the website. The gap in the content in the website can be used to generate new content and/or modify the existing content of the website.
Abstract:
A method and system for a search based on diversity is described. The system calculates a diversity index for a result set comprising results for a query. The diversity index is a measure of diversity among the results of the query. The diversity index relates to differences among the results. The system compares the diversity index to a threshold value. Finally, the system expands the query with one or more query terms based on the comparison.
Abstract:
Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.
Abstract:
A set of personalized search widgets for providing a customized user interface are provided. Among the personalized search widgets include a related searches menu to depict related search terms according to popularity and type. A query builder for explicitly including or excluding particular terms from the query may be provided. The search widgets may further include a history of past searches received from a user, a selection of categories to be searched, and one or more category suggestions. Some widgets associated with sellers allow a user to filter results according to a trusted seller status of the seller or the identity of the seller, and provide to the user a tag cloud including feedback about the seller. The results of a search may be presented in a spreadsheet style format.
Abstract:
Systems and methods for generating data dictionaries are disclosed. In one example, a system comprises a candidate list generator module to generate a list of keywords from search query information, a validation module to validate candidate token pairs based on a divergence value wherein candidate token pairs having divergence values exceeding a divergence threshold are valid token pairs, and a data dictionary module to receive the validated token pairs as entries in a vocabulary, and provide the validated token pairs in response to a search query containing a keyword corresponding to at least one entry in the vocabulary.
Abstract:
A method and system for a search based on diversity is described. The system calculates a diversity index for a result set comprising results for a query. The diversity index is a measure of diversity among the results of the query. The diversity index relates to differences among the results. The system compares the diversity index to a threshold value. Finally, the system expands the query with one or more query terms based on the comparison.
Abstract:
Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.