Search suggestions of related entities based on co-occurrence and/or fuzzy-score matching
Abstract
A method for generating search suggestions of related entities based on co-occurrence and/or fuzzy score matching is disclosed. The method may be employed in a search system that may include a client/server type architecture. The search system may include a user interface for a search engine in communication with one or more server devices over a network connection. The server device may include an entity extraction module, a fuzzy-score matching module, and an entity co-occurrence knowledge base database. In one embodiment, the search system may process a partial search query from a user and present search suggestions to complete the partial query. In another embodiment, the complete search query may be used as a new search query. The search system may process the new search query, run an entity extraction, find related entities from the entity co-occurrence knowledge base, and present said related entities in a drop down list.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method comprising:
identifying, by a server, a first entity in an incomplete search query parameter based on querying a local in-memory database for an entity type corresponding to the first entity; searching, by the server, the local in-memory database via a fuzzy matching process corresponding to the entity type such that a record is located, wherein the record is associated with the incomplete search query parameter based on a confidence score and a ranking based on the confidence score; sending, by the server, a first suggested search query parameter to the client as formed based on the record; forming, by the server, a completed search query parameter based on a selection from the client, wherein the selection selects the first suggested search query parameter; extracting, by the server, a second entity from the completed search query parameter; identifying, by the server, a third entity in the local in-memory database, wherein the third entity is related to the second entity; and sending, by the server, a second suggested search query parameter to the client, wherein the second suggested search query parameter is based on the third entity.
2 . The method of claim 1 , further comprising:
extracting, by the server, a feature from the local in-memory database; and assigning, by the server, a score to the feature, wherein the score indicates a level of certainty of the feature being extracted with a correct attribute.
3 . The method of claim 1 , wherein the searching is before a search query is finalized, wherein the search query includes the incomplete search query parameter.
4 . The method of claim 1 , wherein the record comprises a conceptual feature.
5 . The method of claim 1 , wherein the first suggested search query parameter comprises a plurality of first suggested search query parameters, wherein the method further comprising:
sorting, by the server, the first suggested search query parameters in a descending order based on a proximity of a match to the incomplete search query parameter.
6 . The method of claim 4 , wherein the sending of the first suggested search query parameter to the client is such that the first suggested search query parameter is presented on the client in a drop down list.
7 . The method of claim 1 , wherein the local in-memory is indexed.
8 . The method of claim 1 , wherein the local in-memory includes an entity-to-entity index.
9 . The method of claim 1 , wherein the local in-memory includes an entity-to-topic index.
10 . The method of claim 1 , wherein the local in-memory includes an entity-to-facts index.
11 . A system comprising:
a server configured to:
identify a first entity in an incomplete search query parameter based on querying a local in-memory database for an entity type corresponding to the first entity;
search the local in-memory database via a fuzzy matching process corresponding to the entity type such that a record is located, wherein the record is associated with the incomplete search query parameter based on a confidence score and a ranking based on the confidence score;
send a first suggested search query parameter to the client as formed based on the record;
form a completed search query parameter based on a selection from the client, wherein the selection selects the first suggested search query parameter;
extract a second entity from the completed search query parameter;
identify a third entity in the local in-memory database, wherein the third entity is related to the second entity; and
send a second suggested search query parameter to the client, wherein the second suggested search query parameter is based on the third entity.
12 . The system of claim 11 , wherein the server is configured to:
extract a feature from the local in-memory database; assign a score to the feature, wherein the score indicates a level of certainty of the feature being extracted with a correct attribute.
13 . The system of claim 11 , wherein the server is configured to perform the search before a search query is finalized, wherein the search query includes the incomplete search query parameter.
14 . The system of claim 11 , wherein the record comprises a conceptual feature.
15 . The system of claim 11 , wherein the first suggested search query parameter comprises a plurality of first suggested search query parameters, wherein the server is configured to:
sort the first suggested search query parameters in a descending order based on a proximity of a match to the incomplete search query parameter.
16 . The system of claim 14 , wherein the server is configured to send the first suggested search query parameter to the client such that the first suggested search query parameter is presented on the client in a drop down list.
17 . The system of claim 11 , wherein the local in-memory database is indexed.
18 . The system of claim 11 , wherein the local in-memory database includes an entity-to-entity index.
19 . The system of claim 11 , wherein the local in-memory database includes an entity-to-topic index.
20 . The system of claim 11 , wherein the local in-memory database includes an entity-to-facts index.Join the waitlist — get patent alerts
Track US2017199914A1 — get alerts on status changes and closely related new filings.
We store only your email — no account needed. See our privacy policy.