Book recommendation method, device and equipment based on collaborative filtering and TransH
The invention provides a book recommendation method, device and equipment based on collaborative filtering and TransH. The method comprises the following steps: acquiring book score data corresponding to a target user; determining similar users corresponding to the target user based on the book scor...
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| creator | XING LINING LI XIANQIU ZHU YINJIAO LIU WEI DAI GUOZHU ZHANG YUHANG WANG YUXIANG JIANG CHENGXIN SUN JIAN SUN JINQIANG |
| description | The invention provides a book recommendation method, device and equipment based on collaborative filtering and TransH. The method comprises the following steps: acquiring book score data corresponding to a target user; determining similar users corresponding to the target user based on the book score data, and determining a first book recommendation result according to the book score data corresponding to the similar users through a collaborative filtering algorithm; determining a second book recommendation result based on a pre-constructed book semantic similarity matrix, the book score data and/or the first book recommendation result; wherein the book semantic similarity matrix is constructed based on a target TransH model and a book knowledge graph; and fusing the first book recommendation result and the second book recommendation result to obtain a mixed book recommendation result corresponding to the target user. According to the method, the book recommendation list can be more reasonably and accurately |
| format | Patent |
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The method comprises the following steps: acquiring book score data corresponding to a target user; determining similar users corresponding to the target user based on the book score data, and determining a first book recommendation result according to the book score data corresponding to the similar users through a collaborative filtering algorithm; determining a second book recommendation result based on a pre-constructed book semantic similarity matrix, the book score data and/or the first book recommendation result; wherein the book semantic similarity matrix is constructed based on a target TransH model and a book knowledge graph; and fusing the first book recommendation result and the second book recommendation result to obtain a mixed book recommendation result corresponding to the target user. 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The method comprises the following steps: acquiring book score data corresponding to a target user; determining similar users corresponding to the target user based on the book score data, and determining a first book recommendation result according to the book score data corresponding to the similar users through a collaborative filtering algorithm; determining a second book recommendation result based on a pre-constructed book semantic similarity matrix, the book score data and/or the first book recommendation result; wherein the book semantic similarity matrix is constructed based on a target TransH model and a book knowledge graph; and fusing the first book recommendation result and the second book recommendation result to obtain a mixed book recommendation result corresponding to the target user. 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The method comprises the following steps: acquiring book score data corresponding to a target user; determining similar users corresponding to the target user based on the book score data, and determining a first book recommendation result according to the book score data corresponding to the similar users through a collaborative filtering algorithm; determining a second book recommendation result based on a pre-constructed book semantic similarity matrix, the book score data and/or the first book recommendation result; wherein the book semantic similarity matrix is constructed based on a target TransH model and a book knowledge graph; and fusing the first book recommendation result and the second book recommendation result to obtain a mixed book recommendation result corresponding to the target user. According to the method, the book recommendation list can be more reasonably and accurately</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Book recommendation method, device and equipment based on collaborative filtering and TransH |
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