Commodity map vectorization method and device, electronic equipment and storage medium
A product and map technology, applied in the field of knowledge map, can solve the problem of commodity map data noise and data sparsity
Pending Publication Date: 2022-02-11
国能(北京)商务网络有限公司
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- Description
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- Application Information
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Problems solved by technology
The knowledge graph embedding model provided in related technologies is mostly used in graph completion tasks, and there are also two major tasks of relation extraction and intelligent question answering, which are rarely used in tasks such as recommendation and search in the commodity field. It is because of the problem of noise and data sparsity in commodity map data
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[0035] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
[0036] Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities ...
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The invention provides a commodity graph vectorization method and device, electronic equipment and a storage medium, and relates to the technical field of knowledge graphs. The method comprises the steps: constructing a commodity map, wherein the commodity map at least comprises the entity relation of the following dimensions: the user dimension, the commodity dimension and the category dimension; according to commodity data and user interaction data collected from an e-commerce platform, learning the vector representation of an entity relationship in a commodity map, and obtaining a commodity map vectorization representation model. According to the method and the device, a commodity graph vectorization expression model suitable for the commodity field can be obtained, and tasks such as commodity recommendation, commodity search and graph completion in the commodity field can be realized based on the commodity graph vectorization model.
Description
technical field [0001] The present disclosure relates to the technical field of knowledge graphs, and in particular to a method, device, electronic device and storage medium for vectorizing commodity graphs. Background technique [0002] Knowledge graph is a large-scale semantic network knowledge base. It adopts symbolic knowledge representation, uses triples to describe specific knowledge, and expresses and stores it in the form of directed graph. It has rich semantics, friendly structure, and easy Comprehension etc. Due to its excellent characteristics in expressing human prior knowledge, knowledge graphs have been widely and successfully applied in many fields such as natural language processing, question answering systems, and recommendation systems in recent years. At present, the definition of triples in knowledge graphs is relatively simple, and the relationship between entities is mainly inheritance or combination. Generally, there is only text mode, and the semanti...
Claims
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Login to View More IPC IPC(8): G06F16/28G06F16/48G06F16/45G06F40/30G06F40/289G06F16/36G06F16/9536G06Q30/06
CPCG06F16/288G06F16/48G06F16/45G06F40/30G06F40/289G06F16/367G06F16/9536G06Q30/0631
Inventor 杨艳丽毛建新范亚国陈志刚高源张烨
Owner 国能(北京)商务网络有限公司